Microsoft Word - 2021 RSMj Abstracts for publication FINAL.docx Special Section Conference Abstracts 75 SSppeecciiaall SSeeccttiioonn EEddiittoorr BBeennjjaammiinn OO.. LLaadddd,, PPhh..DD.. KKEEYYNNOOTTEE AADDDDRREESSSS TThhee UUnnppaarraalllleelleedd EEvviillss ooff CCaannnnaabbiiss Mitch Earleywine University at Albany, SUNY PPOOSSTTEERR PPRREESSEENNTTAATTIIOONNSS All poster presentations and symposia were peer- reviewed by the 2021 Conference Program Committee of the Research Society on Marijuana (RSMj) (Bradley T. Conner, Colorado State University, Benjamin O. Ladd, Washington State University Vancouver, Kristina T. Phillips, Kaiser Permanante, Verlin Joseph, University of New Mexico). All abstracts below were approved and voluntarily submitted for publication in Cannabis by the presenting or contact author. TThhee eeffffeeccttss ttaaiilloorreedd iinntteerrvveennttiioonnss oonn ccaannnnaabbiiss uussee mmoottiivveess Alejandra Contreras, Bonnie Leadbeater, Sybil Goulet-Stock (University of Victoria) Background: The motives for cannabis affect on cannabis use and cannabis use consequences. Coping with stress is among the frequent motives for cannabis use. However, non stressed youth may use cannabis for self-enhancing motives like boosting confidence. Both motives are associated with higher frequency of cannabis use and more negative consequences (e.g., effects on schoolwork quality). Interventions targeting these distinctive motives may need to be tailored to assist youth trying to reduce cannabis use. The purposes of this study were: to examine the effect of cannabis use interventions on the change in motives of use; and whether motives for use are associated with hours per week using cannabis. Methods: Participants were from a cross national study including US and Canadian youth (n= 781). Participants included in the current analysis were from two Canadian Universities (n = 397, 54% female, median age = 21) were randomized into either the Cannabis eCHECKUP TO GO or Healthy Stress Management (HSM) intervention. Both interventions were administrated online and assessed at baseline and at a 4- to 6-week follow- up. Eligible youth reported using cannabis more than once a week and wanted to reduce their cannabis use. The 19 items to the question “what do you like about cannabis” were used as an assessment of motives for use (e.g., I feel more courageous, I feel more confident, cannabis helps me reduce stress, cannabis helps me sleep). Confirmatory Factor Analysis showed that a 2- factor model of cannabis use motives (self- confidence and stress-coping) fit the data adequately (CFI = 0.795, RMSEA [90% CI] = .063 [.057, .069]) after removing 2 poorly fitting items. Results: Across conditions self-confidence motives (T1: eCHECKUP condition M = 4.05(2.55), HSM condition M = 4.13(2.43); T2: eCHECKUP condition M = 4.09(2.50), HSM condition M = 4.36(2.28)) were endorse less than stress-coping motives (T1: eCHECKUP condition M = 6.48(1.92), HSM condition M = 6.25(1.78); T2: eCHECKUP condition M = 6.20(1.99), HSM condition M = 6.32(1.96)). Stress-coping motives were significantly correlated with the time spent high (hours a week) (T1 r= .21, T2: r=.26). A repeated measures MANOVA showed a significant interaction between time and intervention condition for the stress-coping motives only (F(1)= 4.08, p = .04). Participants in the Healthy Stress Management condition reported a significant decrease in the amount of stress-coping motives at the follow-up. Conclusions: These results demonstrate that motives of cannabis use can change over the course of a short online intervention for students seeking to reduce their use. In particular, the Cannabis 2022, 5 (1), 75-112 © Author(s) 2022 researchmj.org Abstracts from the 2021 Virtual Scientific Meeting of the Research Society on Marijuana July 23rd, 2021 Conference Abstracts 76 Healthy Stress Management condition helped participants reduce their stress-coping motives at T2. Neither intervention affected self confidence motives in the short term. These may be harder to address and may fuel continued use over time, even for youth hoping to change. AAssssoocciiaattiioonnss ooff CCaannnnaabbiiss UUssee MMoottiivveess aanndd CCaannnnaabbiiss DDeemmaanndd iinn YYoouunngg AAdduullttss Michelle Castro (University of Florida) Ricarda Pritschmann, Meredith Berry (University of Florida) Richard Yi (University of Kansas) Ali Yurasek (University of Florida) Background: Cannabis is the most commonly used illicit substance among young adults and is associated with a variety of negative consequences. Studies have shown that both cannabis demand and certain cannabis motives are associated with higher levels and frequency of cannabis use, as well as associated problems. No study has yet to examine the relationship between cannabis use motives and cannabis demand. The purpose of the current study was to examine the associations between individual cannabis motives and cannabis demand. Methods: Data were collected from 95 young adult cannabis users who reported using cannabis at least once in the last 30 days. (M age = 20.63; Female = 50.5%; M cannabis use days per month = 14.64). Participants completed questionnaires assessing cannabis use frequency, cannabis use motives, and a cannabis purchase task. Amplitude, representative of the amount consumed at an unrestricted price, and persistence, representative of sensitivity to escalating price, were calculated and used in the analyses. Results: Initial correlational analyses demonstrated significant relationships between demand and total number of cannabis motives and conformity, enjoyment, coping, experimentation, boredom, celebration, and sleep motives (ps < .05). A series of hierarchical linear regressions were conducted to determine the specific associations between the aforementioned individual cannabis motives and amplitude and persistence. Step one controlled for age, gender, and cannabis use frequency, and the motives were added in step two. Regression models indicated that total number of motives, enjoyment, conformity, and coping motives were significant predictors of persistence even after controlling for cannabis use frequency. Motives were not significant predictors of amplitude. Conclusion: Findings from this study suggest that young adults who use cannabis for enjoyment, conformity, or coping reasons may experience greater reinforcement efficacy of cannabis which may place them at increased risk to develop cannabis use disorder or other related problems associated with their use. Further, young adults with these cannabis use motives may be less sensitive to increases in price and continue to purchase cannabis at higher prices. These findings can be used to inform cannabis interventions by targeting specific motives for use. JJuusstt SSaayy NNoo:: TThhee RReellaattiioonnsshhiipp bbeettwweeeenn CCoonnffoorrmmiittyy MMoottiivveess,, RReeffuussaall SSeellff--EEffffiiccaaccyy,, aanndd CCaannnnaabbiiss--RReellaatteedd CCoonnsseeqquueenncceess Alyssa Rice, Gabrielle Longo (University of Houston) Faith Shank (Rowan University) Clayton Neighbors (University of Houston) Cannabis use on college campuses is common, with more than half of students reporting use within the past year (Schulenberg, et. al, 2020). Additionally, a 2017 study found that approximately 90% of past-month cannabis users reported having experienced at least one negative consequence (Pearson, Liese, & Dvorak, 2017). Numerous studies have evaluated the association between conformity motives and cannabis-related consequences such as driving under the influence or poor academic performance (Glodosky & Cuttler, 2019; Lee, Neighbors, & Woods, 2007). Research suggests that while those users who endorse conformity motives generally report lower use and frequency (Zvolensky et al., 2007), they may be at high risk of experiencing negative cannabis-related consequences (Buckner, Walukevich, & Lewis, 2019). One construct that has been shown to predict lower cannabis-related problems in young adults is refusal self-efficacy (Papinczak, Connor, Harnett, & Gullo, 2018; Hayaki et al., 2011). Refusal self-efficacy in relation to cannabis use is one’s belief that they will be able to resist, refuse, or turn down cannabis when offered. As refusal self-efficacy is prominent in conformity-driven situations, it is Conference Abstracts 77 important to understand how refusal self-efficacy may mediate the relationship between conformity motives and cannabis-related consequences. As this relationship has not yet been tested we aim to examine this mediational relationship. We hypothesized that refusal self-efficacy mediates the relationship between motives and cannabis-related problems, such that refusal self- efficacy explains the preexisting relationship between conformity motives and problems related to cannabis use. Participants included 567 undergraduate students (49.02% White, 77.21% female). Cannabis use prevalence among the sample was 61.25% lifetime, 36.53% within the past 6 months, and 28.92% within the past 30 days. The relationship between conformity motives, refusal self-efficacy, and problems was examined using structural equation modeling in STATA Version 15.1. Results found that The relationship between conformity motives and cannabis-related problems was partially mediated by cannabis refusal self-efficacy. The direct path from conformity motives to problems was significant and positive (B = .167, SE = .063), indicating a competitive mediation (Zhao, Lynch, & Chen, 2010). The standardized regression coefficient between conformity motives and refusal self- efficacy was statistically significant (B = -.337, SE = .053), as was the standardized regression coefficient between refusal self-efficacy and cannabis-related problems (B = -.411, SE = .06). We tested the significance of the indirect effect using bootstrapping procedures. Unstandardized indirect effects were computed for each of the 5,000 bootstrapped samples. The bootstrapped unstandardized indirect effect was .357, and the 95% confidence interval ranged from .180, .533. Thus, the indirect effect was statistically significant. This indicates that part of the reason that those with conformity motives have cannabis-related problems is due to their inability to refuse cannabis when offered. However, due to the fact that this was a partial mediation, there are other potential mediators to be accounted for, such as social anxiety (Buckner & Schmidt, 2008). EElluucciiddaattiinngg tthhee NNaattuurree ooff tthhee LLiinnkkss BBeettwweeeenn CCaannnnaabbiiss UUssee aanndd AAtttteennttiioonn Deficit/Hyperactivity Disorder Amanda Stueber, Carrie Cuttler (Washington State University) Many individuals with mental health disorders use cannabis to self-medicate for their symptoms. Attention-deficit/hyperactivity disorder (ADHD) is a neurological disorder associated with increased cannabis use but, relative to other mental disorders (e.g., anxiety, psychosis, post- traumatic stress disorder), far less attention has been paid to examining cannabis use by people with ADHD. Nevertheless, there is some limited evidence to suggest that people with ADHD might use cannabis to self-medicate for their symptoms and that they perceive it to be beneficial for this purpose. The goal of this study was to better understand the nature of the relationships between cannabis use and A total of 1,382 undergraduate students completed an online survey measuring their ADHD symptoms, and cannabis use patterns. Participants who reported they have used cannabis to manage their ADHD were further asked to report their perceptions of whether acute and/or chronic cannabis use improves, worsens, or has no effect on their ADHD symptoms. Participants who reported they have been prescribed ADHD medication and use cannabis also reported their perception of how cannabis use affects the effectiveness of their medication, and ADHD medication side effects. Evidence from this study revealed that ADHD symptom severity is associated with consuming cannabis more frequently and with more severe symptoms of cannabis use disorder. Participants with ADHD reported that cannabis has acute detrimental effects on memory but beneficial effects on many of their other core symptoms of ADHD, including hyperactivity, impulsivity, restlessness, and mental frustration. While most participants on ADHD medications reported that cannabis does not influence their medication effectiveness, they did report that cannabis helps with many of the side effects associated with their ADHD medications including headaches, loss of appetite, sleep disturbances, moodiness/irritability, and anxiety. The knowledge gained from this study will help people with ADHD and their healthcare providers by providing them with a better understanding of the use of cannabis by individuals with ADHD including the possible risks and benefits of such use on cannabis use disorder, ADHD symptoms, and medication side effects. Conference Abstracts 78 SSoolliittaarryy CCaannnnaabbiiss UUssee dduurriinngg tthhee CCOOVVIIDD--1199 PPaannddeemmiicc:: AAssssoocciiaattiioonnss wwiitthh AAffffeecctt,, SSoocciiaall FFaaccttoorrss,, aanndd PPaannddeemmiicc--RReellaatteedd SSttrreessss Amelia V. Wedel, Aesoon Park (Syracuse University) Introduction: Emerging evidence suggests that cannabis use has increased since the start of the COVID-19 pandemic. Many cannabis users report using at a greater frequency and attribute this change in part to a desire to cope with changes to mental health (e.g., depression, social anxiety) and stress associated with the pandemic. Despite increases in social isolation due to quarantine and social-distancing requirements, little is known about how the social context of cannabis use (i.e., how much cannabis use is conducted with others vs. alone) may be associated with affective and social factors as well as cannabis-related consequences. This cross-sectional study explored associations of solitary cannabis use frequency with depression, social anxiety, loneliness, interpersonal sensitivity, pandemic-related stress, and cannabis use consequences. Method: Participants (N = 168; 53% female, mean age = 18.71 [SD = 0.99]; 67% White, 11% Hispanic/Latinx) were college students who reported lifetime cannabis use. Participants completed a single-wave online survey assessing solitary and overall cannabis use frequency, depression, social anxiety, loneliness, interpersonal sensitivity, pandemic-related stress, and cannabis consequences. First, independent-samples t-tests and zero-inflated negative binomial regression were used to explore associations of at-least monthly solitary (vs. exclusively or majority social use) cannabis use with proposed correlates and cannabis use consequences, respectively. Second, all affective factors were entered into a multinomial logistic regression predicting past-year (but no past-month) and past- month solitary cannabis use (with no past-year solitary use as reference). Age and sex were controlled for given prior associations with solitary cannabis use and cannabis use consequences. Results: Compared to exclusively or predominantly social use, past-month solitary cannabis use was independently associated with greater depression (t[166]=2.49, Cohen’s d=0.41), interpersonal sensitivity (t[166]=3.09, Cohen’s d=0.51), pandemic- related stress (t[166]=3.95, d=0.67), and cannabis use consequences (IRR=2.28, <.001). Results from the multinomial regression showed that male sex (OR=3.48, p=.032) and greater pandemic-related stress (OR=1.41, p=.001) were associated with higher odds of past-year solitary use, while male sex (OR=2.98, p=.016), greater interpersonal sensitivity (OR=1.12, p=.044), and greater pandemic stress (OR=1.34, p<.001) was associated with higher odds of past-month solitary use. Conclusion: Findings expand upon pre-pandemic findings that solitary cannabis use is associated with social anxiety and cannabis use consequences, and further emphasize associations of frequent solitary cannabis use with greater cannabis consequences. Findings further implicate interpersonal sensitivity and pandemic- related stress as risk factors for higher frequency solitary cannabis use. Taken together, findings suggest a) screening for solitary use may have utility for identifying higher-risk users among college students and b) individuals who use cannabis alone may benefit from treatment targeting concurrent issues with stress management and interpersonal sensitivity. MMaarriijjuuaannaa,, SSoocciiaall IIssoollaattiioonn,, aanndd LLoonneelliinneessss AAmmoonngg OOllddeerr AAdduullttss:: RReessuullttss ffrroomm tthhee 22001188 HHeeaalltthh aanndd RReettiirreemmeenntt SSttuuddyy Jie Yang (Eastern Carolina University) Andrew Yockey (University of North Texas Health Science Center) Introduction: Marijuana is the most used substance across all age groups and as of recently, there has been a significant increase in use among older adults (i.e. individuals ages 65+). Moreover, older adults also report higher levels of loneliness and social isolation, which are significant risk factors for initiation of marijuana use. However, these relationships have yet to be examined among older adults. The purpose of the present study was to examine whether social isolation and loneliness predicted marijuana use among a national sample of US older adults and examine differences in past-year use. Methods: A secondary data analysis of the 2018 Health and Retirement Study was conducted. The Health and Retirement Study is a national study examining health, income, retirement, and other psychosocial variables. For the present study, we utilized the newest marijuana module. We created a Loneliness scale (α = .88), social isolation scale Conference Abstracts 79 (α = .85), and assessed differences based on demographics and perceptions of marijuana. Weighted logistic regression models were built to determine conditional associations to past-year marijuana use. The level of significance was set at p <.05. Results: A total of 1,661 adults ages 65+ was the final analytic sample. Nearly 1 in 10 (9.85%) adults reported past-year use of marijuana. Neither loneliness (p = .43) or social isolation (p= .39) were significant predictors of marijuana use. Adjusting for demographics, adults who reported past year drinking (aOR: 7.84, 95% 2.13, 28.9) were more likely to report use. Individuals who thought marijuana should be legalized for medicinal purposes were 44.6 times more likely to report past year use. Discussion: To our knowledge, this is one of the first studies to examine loneliness, social isolation, and its association with past-year marijuana use among a large sample of older adults in the United States. Findings from the present study can inform policy prevention efforts, address facets in Healthy People 2030, and clinical interventions. AAsssseessssmmeenntt ooff IImmppaaiirreedd CCoonnttrrooll OOvveerr CCaannnnaabbiiss CCoonnssuummppttiioonn:: PPssyycchhoommeettrriicc PPrrooppeerrttiieess ooff tthhee IImmppaaiirreedd CCoonnttrrooll SSccaallee--CCaannnnaabbiiss ((IICCSS--CC)) Korina Kaye Taguba, Matthew T. Keough (York University) Adrian J. Bravo (William & Mary) Jeffrey D. Wardell (York University, University of Toronto, and Centre for Addiction and Mental Health, Toronto, Canada) Background: Impaired control over substance use is a construct that is central to addiction and appears to play an early role in the development of addictive behaviors. The Impaired Control Scale (ICS) was developed to measure impaired control over alcohol, which has been associated with problem drinking and alcohol-related problems in young adults. However, there is relatively less research regarding impaired control over cannabis, and currently there is a lack of a comprehensive and valid scale that specifically measures this construct. This study addresses this gap in the literature by introducing the Impaired Control Scale-Cannabis (ICS-C), an adaptation of the ICS designed to measure impaired control over cannabis. We conducted a preliminary examination of the factor structure, reliability, and validity of the ICS-C. Methods: An online survey was administered to introductory psychology students (N=362; 63% women; 66% White, mean age=19.91) at two Canadian Universities who reported using cannabis at least once in the past month (average frequency = 9.34 days; SD = 9.60). All participants completed the ICS and ICS-C along with measures of cannabis use and problems, including the Impaired Control subscale of the Marijuana Consequences Questionnaire (MACQ-IC). A subset of participants completed additional measures of impulsivity and self-regulation. Results: An exploratory factor analysis (EFA, with an oblique rotation) of the 25 items of the ICS-C yielded 3 factors, one of which was comprised solely of reverse keyed items (despite reverse coding items prior to the EFA). These items were trimmed from the measure and the EFA was rerun. Two factors emerged: Attempted Control (i.e., frequency of attempts to control cannabis use) and a factor comprised of items assessing both Failed Control (i.e., unsuccessful attempts in limiting cannabis use) and Perceived Control (i.e., beliefs about the ability to control cannabis use in the future). Given that the Failed and Perceived Control items unexpectedly loaded on the same factor, suggesting high redundancy in the concepts of Failed and Perceived control, the items assessing Perceived Control were dropped from subsequent analyses. The final solution consisted of two factors, Attempted Control (alpha=0.96) and Failed control (alpha=0.88). High correlations between the MACQ-IC and ICS- C Attempted Control (r=0.42, p<.001) and Failed Control (r=0.67, p<.001) scales provided evidence for convergent validity. Weaker correlations between ICS (alcohol version) and ICS-C Attempted Control (r=0.36, p<.001) and Failed Control (r=0.34, p<.001) scales supported discriminant validity. Concurrent validity was demonstrated based on the moderate and statistically significant correlations of the ICS-C Failed Control subscale and frequency of cannabis use (r=0.47, p<.001) and grams of cannabis used (r=0.44, p<.001). Additional evidence for concurrent and discriminant validity were also found in the patterns of correlations between the Conference Abstracts 80 ICS-C subscales and measures of impulsivity and self-regulation. Conclusions: ICS-C is a promising tool that can be used to assess impaired control over cannabis in young adults. Future research should confirm the factor structure of the ICS-C and examine its utility to screen for impaired control in the context of prevention and early intervention for cannabis- related problems. UUnnppllaannnneedd vvss.. ppllaannnneedd ssiimmuullttaanneeoouuss aallccoohhooll aanndd ccaannnnaabbiiss uussee iinn ddaaiillyy lliiffee:: WWhhaatt aarree tthhee mmoottiivveess,, ccoonntteexxttss,, aanndd oouuttccoommeess?? Angela K. Stevens, Rachel L. Gunn, Holly K. Boyle (Center for Alcohol and Addiction Studies, Brown University School of Public Health) Helene R. White (Center of Alcohol and Substance Studies, Rutgers, the State University of New Jersey) Kristina M. Jackson (Center for Alcohol and Addiction Studies, Brown University School of Public Health) Alcohol and cannabis are commonly used by U.S. college students and often used simultaneously (simultaneous alcohol and marijuana [SAM] use). Better understanding situations in which SAM use is planned or unplanned and related consequences of these distinct SAM use events will inform prevention and intervention efforts. We extended previous daily-level research by examining motives and contexts (social, physical) as indicators of unplanned vs. planned SAM use occasions, as well as by parsing specific plans for alcohol use and for cannabis use on SAM use occasions. Specifically, we examined: unplanned alcohol and marijuana (UAM) use, planned mono- substance (either alcohol or cannabis but not both) use (MSU), and planned SAM use. College student SAM users (N=341; 53% women) were recruited from three U.S. universities and completed 56 days of data collection with five repeated surveys each day. Most SAM use occasions were planned (73% of occasions), followed by planned MSU (18%), and by UAM use (10%). Two-level generalized linear mixed-effects models were conducted to account for nesting of occasions within persons and the three-category nominal outcome. All models included age, sex, recruitment site (school), weekend, and other drug use as covariates. At the within-person level, using for social or enhancement reasons was related to higher odds of planned SAM use (vs. UAM use). These reasons for use were also related to planned SAM use when compared to planned MSU, whereas using because it was offered or to cope was related to lower odds of planned SAM use (vs. planned MSU). Using at home or alone was linked to lower odds of planned SAM use (vs. UAM use), and using at a party, friend’s place, with friends, with more intoxicated people, and with more people using cannabis was associated with higher odds of planned SAM use. An identical pattern was found when comparing planned SAM use to planned MSU. When disaggregating “planned MSU” into planned alcohol use-unplanned cannabis use vs. planned cannabis use-unplanned alcohol use, using for social or enhancement reasons was related to higher odds of planned alcohol-only use. Likewise, using at a party, with friends, with strangers/acquaintances, with more intoxicated people, and with more people using cannabis were related to higher odds of planned alcohol-only use. Using at home or alone was linked to lower odds of planned alcohol-only use. Findings suggest that interventions should target days when college students are planning for SAM use. Mobile health interventions could also focus on higher risk motives (e.g., social) and contexts (e.g., party) that were indicators of planned SAM use, as well as target individuals who endorse using substances to cope or because substances were offered, with these latter individuals being at risk for unplanned SAM use when only MSU was originally planned. Specifically, ecological momentary interventions and just-in-time adaptive interventions could send protective behavioral strategies to individuals endorsing intentions for use and high-risk motives or contexts to reduce the heavy alcohol and cannabis consumption that was associated with planned SAM use. DDiiffffeerreenncceess iinn MMaarriijjuuaannaa UUssee,, CCoonnsseeqquueenncceess,, aanndd MMoottiivveess bbaasseedd oonn YYoouunngg AAdduullttss’’ IInntteerreesstt iinn RReedduucciinngg tthheeiirr MMaarriijjuuaannaa UUssee oorr CCoonnsseeqquueenncceess:: MMaayy 22002211 DDaattaa ffrroomm aa HHiigghh--rriisskk CCoommmmuunniittyy SSaammppllee Anne M. Fairlie, Christine M. Lee, Mary E. Larimer (University of Washington) Conference Abstracts 81 Purpose. This study contributes to our understanding of the factors associated with young adults’ interest in reducing their marijuana use or consequences during the COVID-19 pandemic. This study compared high-risk young adults who indicated they were open to or thinking about changing their marijuana use to those who were satisfied with their marijuana use. These two groups were compared on biological sex, age, marijuana use, consequences, and 12 motives. Method. The data were part of a larger longitudinal study that recruited a community sample of young adults from the Seattle WA area (ages 18-25 at recruitment), who reported recent alcohol use and also simultaneous alcohol and marijuana use. Participants were recruited through various methods including social media and Craigslist advertisements. Participants completed a baseline survey and six 2-week bursts of online daily surveys across two years as well as other follow-up surveys. Data presented here were collected in May 2021, the final follow-up assessment point. May 2021 data were collected from 376 participants (92% of the original recruited sample), and the current analyses focus on the 265 participants who reported using marijuana in the past month (50.6% females, 48.68% non-Hispanic/Latinx White, mean age = 24.58 (SD = 2.20). Results. Over one-third (37.7%, n = 100) indicated they were open to changing or currently thinking about changing their marijuana use by using less or by reducing marijuana’s negative effects. Almost two-thirds (60.4%, n = 160) indicated they were satisfied with their use of marijuana, 1.5% (n = 4) indicated they were currently seeking or in treatment for marijuana use, and 0.4% (n = 1) did not provide a response. More men (44.60%) than women (32.30%) indicated they were open to changing or currently thinking about changing their marijuana use by using less or by reducing marijuana’s negative effects. Young adults who indicated they were open to or thinking about changing their use reported significantly more hours high in a typical week and more marijuana consequences than those who were satisfied with their use of marijuana. Finally, young adults who indicated they were open to or thinking about changing their use reported significantly higher scores for the following seven marijuana motives: coping, boredom, altered perceptions, social anxiety, perceived low risk, sleep, and availability. No differences were found for five marijuana motives: enjoyment, conformity, experimentation, alcohol-related, and celebration. Conclusions. Findings underscore the potential role of negative consequences as a motivator for young adults’ interest in reducing their marijuana use. Coping motives, social anxiety motives, and sleep motives may be of particular importance with respect to young adults’ self-motivation to change and facilitating the process of change. MMoobbiillee aapppp ddeetteeccttiioonn ooff TTHHCC--rreellaatteedd ccooggnniittiivvee iimmppaaiirrmmeenntt iinn hheeaavvyy uusseerrss Ari P. Kirshenbaum (Saint Michael's College & DriveAbilityVT, LLC) Chris Lewis (DriveAbilityVT, LLC) Andy Kaplan (University of Vermont, College of Medicine, DriveAbilityVT, LLC) The degree to which frequent users of cannabis experience cognitive impairment from acute self- administration has been questioned on the basis of behavioral tolerance to THC. "Indicator" is a downloadable mobile software app that assesses cognitive, perceptual, and motor skills using a variety of brief videogames. In the course of one month (April 2021), the app was used by 199 adult users who self-identified as either use cannabis "frequently" or "continuously." Sixty-one of these heavy users played at least two of the videogames available in the app while sober, and this was on the first occasion of using the app. Ninety-six used the app while intoxicated by cannabis, and also on their first instance of using the app. Independent- samples t-test was performed to compare sober- versus-intoxicated performance on each of two separate videogames, and these videogames specifically assessed (a) time perception and (b) reaction speed and accuracy. Clear evidence of cannabis-related impairment was evident for both videogames (p < 0.05) for this heavy-using population. This evidence suggests that neurocognitive performance-related deficits are apparent in a population of users who are well- accustomed to the psychopharmacological influence of THC. AAnneeccddootteess UUsshheerreedd iinn MMaarriijjuuaannaa LLeeggaalliizzaattiioonn:: AA MMaacchhiinnee LLeeaarrnniinngg--aaiiddeedd BBiigg DDaattaa AAnnaallyyssiiss ooff RReeddddiitt DDiissccoouurrssee ((22000088--22001199)) Conference Abstracts 82 Babak Hemmatian, Aryan Srivastava, Nathaniel Goodman, Jonathan Lee, Carsten Eickhoff, Steven A. Sloman (Brown University) At least two fundamental types of evidence feature in attempts to persuade: Anecdotal and generalized (Baesler & Burgoon, 1994). Experimental research has found anecdotal evidence more effective at changing attitudes in issues marked by personal significance and health-relevance (Freling et al., 2020). These apply to marijuana legalization, where a massive shift in American attitudes (from 35% to 67% in favor during 2008-2019; Pew Research Center, 2019) was followed by rapid legalization. However, no research to date has examined whether the movement benefited from anecdotal framing. Since the attitude shift coincided with the rise of social media, we developed the largest corpus of marijuana legalization discussions from Reddit to address this gap (more than 3M comments from 2008-2019, comprising more than 300M words). The dataset is the first to separate marijuana legalization discourse from general mentions of cannabis (e.g., product advertisements) across an entire popular platform. We then developed neural network models to distinguish anecdotal from generalized text in the dataset based on three clause-level features derived from linguistic theory: Whether a clause is about a generic kind rather than specific instances, whether it presents a reliable state or an event, and whether events are bounded in time. Principal Components Analysis provided a reliable composite score of the three features, treated as a measure of the degree to which major themes of discourse are anecdotal versus generalized. We combined topic modeling (Latent Dirichlet Allocation; Blei et al., 2003) with hierarchical clustering and smoothed polynomial regressions to track themes’ prominence over time and bin them into broader categories. Anecdotal themes were less prevalent but present in most comments. We trained separate neural networks on human annotations of attitude and persuasion attempt. Within non-argumentative discourse, anecdotes became more prominent only later in time, presumably as a consequence of softening societal attitudes. But they played a more prominent role throughout in arguments favoring legalization, suggesting that they were actively used to persuade others. Were such anecdotal arguments timed in a way that benefitted legalization ballot initiatives? To answer, we inferred user locations and compared the rate of anecdotal themes before and after legalization in comments from pioneering states. Despite the experimental evidence favoring anecdotal argumentation, we found that the 2012 and 2016 legal milestones followed short- term increases in generalized arguments instead. The particular content, however, varied between the two periods. Character judgments were prominent in 2012, while crime and politics took center-stage in 2016. The generalized precedents of legalization in leading states were argumentative and moralistic but had distinctive clause-level profiles. Meanwhile, legal and medical arguments were sidelined, meaning the novel consensus was not informed by much of the relevant information, anecdotal or otherwise. Together, our results show that while the emerging consensus probably benefited from anecdotal argumentation, the legalization movement’s success happened despite its reliance on less effective generalized discussions with less concrete information content. Addressing this discrepancy between experimental research and the direction of societal discourse may help bring about more informed discussions while better enabling the changing of attitudes. IInniittiiaall vvaalliiddaattiioonn ooff aa bbrriieeff aasssseessssmmeenntt ooff ccaannnnaabbiiss ddeemmaanndd aammoonngg yyoouunngg aadduulltt ccoolllleeggee ssttuuddeennttss Benjamin L. Berey, Elizabeth R. Aston (Brown University) Ricarda K. Pritschman (University of Florida) Cara M. Murphy (Brown University) Ali M. Yurasek (University of Florida) Behavioral economic models of addiction posit that cannabis’s reinforcing value (demand) is linked to use. The Marijuana Purchase Task (MPT; Aston et al., 2015) quantifies demand by assessing hypothetical cannabis consumption across escalating price points. Indices generated from MPT performance include intensity (i.e., amount consumed when free), Omax (i.e., peak expenditure), Pmax (i.e., price at peak Conference Abstracts 83 expenditure), elasticity (i.e., degree that consumption decreases as price increases), and breakpoint (i.e., cost suppressing consumption to zero). Cannabis demand is linked to engagement in risky behaviors and cannabis use disorder (CUD) symptomology. However, the length of the MPT makes repeated assessment of state- dependent changes in cannabis demand difficult, which limits clinical utility. Brief assessments of alcohol and cigarette demand exist that measure intensity, Omax, and breakpoint. Thus, the aim of the current study was to develop and validate a brief assessment of cannabis demand. College students (N=211, Mage=19.91, SD=1.44; 63% Female; 56.4% Non-Hispanic Caucasian) who reported past-month cannabis use ≥3 times completed an online survey. Participants completed the MPT, a 3-item brief assessment of marijuana demand (BAMD) assessing intensity, Omax, and breakpoint, and measures of demographics, cannabis use frequency, cannabis- related negative consequences, CUD symptomology based on DSM-5 criteria, and cannabis craving. Convergent validity was examined via bivariate correlations of demand indices on the BAMD, MPT, and cannabis outcome measures. Divergent validity was assessed via independent samples t-tests to examine whether demand indices on the BAMD differed based on the presentation or absence of CUD. A one-way between-subjects ANOVA with planned comparisons was tested to compare effects of CUD severity (mild/moderate/severe) on BAMD demand indices. Intensity, Omax, and breakpoint were significantly correlated across the MPT and BAMD (rs=.30 – .79, ps<.01). Intensity, Omax, and breakpoint on the MPT and BAMD were significantly correlated with current cannabis craving, CUD severity, and cannabis-related negative consequences (rs=.18 – .48, ps<.05). Only intensity and Omax were significantly correlated with cannabis use (rs=.16 – .43, ps<.01). Individuals with (versus without) a CUD reported significantly greater intensity and Omax (ps< .01), but not breakpoint, on the MPT and BAMD. There were significant effects of CUD severity on B-MPT demand indices (ps<.05). Planned comparisons revealed that individuals with a moderate or severe CUD had significantly elevated intensity, Omax, and breakpoint on the BAMD compared to individuals with a mild CUD. Only breakpoint differentiated individuals with a moderate and severe CUD. This is the first study to validate a brief assessment of cannabis demand. Consistent with prior alcohol and tobacco research, the BAMD espoused convergent validity with the MPT and divergent validity by differentiating individuals with and without a CUD and along the CUD severity continuum. Thus, the BAMD may be a useful tool to assess links between specific indices of cannabis demand and clinically-relevant outcomes over time and in real-world settings. However, given the rise in novel cannabis products with different modes of administration and varying potencies, future research should examine whether demand differs based on these factors. Further, replicating these findings among more diverse populations is essential. DDeevveellooppmmeenntt aanndd IInniittiiaall VVaalliiddaattiioonn ooff MMaarriijjuuaannaa IIddeennttiittyy IImmpplliicciitt AAssssoocciiaattiioonnss TTeessttss aammoonngg LLaattee AAddoolleesscceennttss iinn WWaasshhiinnggttoonn SSttaattee Jason J. Ramirez, Christine M. Lee, Elliot C. Wallace, Kristen P. Lindgren (University of Washington) The current climate surrounding adolescent marijuana use in the U.S. is facing unprecedented circumstances. Rates of daily use are at or near all-time highs and perceptions of risk are at an all- time low in the history of the Monitoring the Future study among 8th, 10th, and 12th graders. These rates are occurring despite research demonstrating worse long-term health outcomes associated with earlier age of marijuana use onset and increasing THC levels among marijuana products. As a result, there is an urgent need to identify risk factors that may represent screening markers of risk or targets for prevention and intervention among adolescents. One important risk factor for alcohol and tobacco is the extent to which one identifies with each substance. This aspect of identity can be measured with adaptations of the Implicit Association Test (IAT), a reaction time measure that aims to assess associations held in memory between constructs (e.g., marijuana and one’s self-concept). The aim of the current study was to develop and test two Marijuana Identity IATs among late adolescents in Washington State, one using images and another using words to represent marijuana and its control category. The current study included Conference Abstracts 84 169 adolescents between the ages of 15-18 (Mean age = 16.9, SD age = 0.9, 50% female, 66% high school student) with recruitment stratified by marijuana use (to include participants that range from non-users to heavy users) and gender. Data described here come from the online baseline assessment that included the Marijuana Identity IATs and self-report measures of marijuana use, consequences, and explicit (i.e., self-reported) marijuana identification. Results from the IATs reveal two normal distributions of IAT scores that were both positive on average indicating faster reaction times when marijuana was categorized with the self (and a neutral category categorized with other people). Split-half reliabilities of the IATs revealed internal consistencies in the range of previous substance-related IATs (word-based IAT, r = 0.52; imaged-based IAT, r = 0.40). In negative binomial regression models that controlled for age and sex, both IATs were significantly associated with use and consequences such that faster reaction times categorizing marijuana with the self were associated with more marijuana use and consequences (ps< .01). When controlling for self- reported identification marijuana, only the image- based IAT was significantly associated with marijuana use and consequences (ps< .05). The findings demonstrate relationships between IAT performance and marijuana use outcomes that compare favorably to past marijuana-related IATs lending support to implicit associations between the marijuana and the self as an important marker of marijuana use behaviors. Despite this promise, the relative inferiority of the internal consistency of these IATs to self-report measures may limit their utility as tools for screening. Future experimental and longitudinal research is warranted however, to examine identification with marijuana as a causal candidate for marijuana misuse to examine its potential as a prevention and intervention target. PPrreevvaalleennccee aanndd CCoorrrreellaatteess ooff CCaannnnaabbiiss UUssee aanndd CCoo--uussee iinn CCiiggaarreettttee SSmmookkeerrss aanndd NNoonn--SSmmookkeerrss:: AAnn EEmmeerrggeennccyy DDeeppaarrttmmeenntt SSttuuddyy Carol B. Cunradi, Raul Caetano, William Ponicki (Pacific Institute for Research and Evaluation) Harrison Alter (Alameda Health System) Background: Compared to the general household population, elevated rates of cannabis and cigarette smoking are found among adults seeking medical care at urban safety-net hospital Emergency Departments (ED). The goal of this study is to assess the prevalence and identify the demographic and psychosocial correlates of cannabis use with and without cigarette co-use in comparison to non-cannabis/tobacco users in an urban ED population. Methods: Secondary analysis was conducted on cross-sectional data collected in 2017 for a study on intimate partner violence, drinking and drug use among married/partnered adults ages 18-50 who were English or Spanish speakers seeking non-acute care at an urban ED (N=1,037; 53% female). Face-to-face survey interviews were conducted after obtaining informed consent from participants. We measured past 12-month cannabis use and past 30-day cigarette smoking. Data were collected on demographic (age, gender, level of education, race/ethnicity) and mental health factors (anxiety, depression, PTSD, past 12-month risky drinking [females/males drank 4+/5+ drinks]). Study participants were categorized as tobacco users without cannabis use (13.5%); cannabis users without tobacco use (13.8%); cannabis users with tobacco use (13.3%); and those who used neither substance (59.5%). We conducted chi-square analysis to examine the relationship between demographic and psychosocial factors and cannabis/tobacco co-use status, and multinomial logistic regression to estimate the factors associated with each type of cannabis/tobacco co-use category relative to non- users. Results: Approximately half of cannabis users smoked cigarettes. Compared to women, men had greater odds of smoking cigarettes without cannabis (aOR=3.26; 95% CI 2.12, 5.00), using cannabis without cigarettes (aOR=2.38; 95% CI 1.54, 3.69), or being a cannabis/tobacco co-user (aOR=3.72; 95% CI 2.30, 6.02). Latinx participants were less likely to smoke cigarettes without cannabis (aOR=0.24; 95% CI 0.10, 0.56), use cannabis without cigarettes (aOR=0.18; 95% CI 0.08, 0.42), or co-use cannabis/tobacco (aOR=0.05; 95% CI 0.02, 0.11) than white participants. Participant age was inversely associated with using cannabis without cigarettes (aOR=0.93; 95% CI 0.91, 0.96) and being a cannabis/tobacco co-user (aOR=0.95; 95% CI 0.93, Conference Abstracts 85 0.98). Regarding psychosocial factors, those who screened positively for anxiety had greater odds for using cannabis without cigarettes (aOR=1.93; 95% CI 1.20, 3.10) and being a cannabis/tobacco co-user (aOR=3.40; 95% CI 2.04, 5.66) compared to those who screened negatively. Those who screened positively for PTSD had elevated odds for using cannabis without cigarettes (aOR=1.65; 95% 1.00, 2.75) compared to those who screened negatively. Those who had engaged in risky drinking had greater odds of smoking cigarettes without cannabis (aOR=2.27; 95% CI 1.47, 3.48), using cannabis without cigarettes (aOR=2.54; 95% CI 1.61, 4.02), or being a cannabis/tobacco co- user (aOR=4.34; 95% CI 2.71, 6.97) compared to those who had not engaged in this behavior. Conclusions: Over one quarter of an urban ED sample used cannabis either with or without cigarettes. The results suggest that there are distinct demographic and mental health risk and protective factors associated with cannabis use and co-use in cigarette smokers and non-smokers. Cannabis users who smoke cigarettes may be especially vulnerable to mental health problems. RReeaassoonnss ffoorr iinnddiivviidduuaall aanndd ccoonnccuurrrreenntt uussee ooff vvaappeedd nniiccoottiinnee aanndd ccaannnnaabbiiss:: tthheeiirr ssiimmiillaarriittiieess,, ddiiffffeerreenncceess,, aanndd aassssoocciiaattiioonn wwiitthh pprroodduucctt uussee Danielle M. Smith (University at Buffalo; Roswell Park Comprehensive Cancer Center) Lynn Kozlowski (University at Buffalo) Richard J. O'Connor, Andrew Hyland, Maciej Goniewicz (Roswell Park Comprehensive Cancer Center) R. Lorraine Collins (University at Buffalo) Background: Understanding similarities, differences, and associations between reasons people use vaped nicotine and cannabis may be important for identifying underlying contributors to co-use. Methods: A cross-sectional survey of n=112 co- users of vaped nicotine and cannabis was conducted in 2020. Participants reported on their use of nicotine and cannabis products (vaped and smoked), along with reasons for individual product use, nicotine-cannabis co-use, and engagement with sequential use and co- administration. Results: Cannabis vaping and smoking exhibited similar ratings for user experience and product/substance-related reasons for use. Reasons related to product utility were similar for cannabis vaping and nicotine vaping. Ratings for utility-related reasons for use were significantly higher for cannabis vaping than cannabis smoking (mean (SD):3.6(±1.0) vs. 2.6(±1.2), difference=0.98, t=7.84, p<0.0001). Harm reduction-related reasons for use were rated higher for nicotine vaping than cannabis vaping (2.4(±1.6) vs. 1.8(±1.4), difference=0.65, t=4.24, p<0.0001). Regression models showed higher ratings for utility-related and harm reduction- related reasons for nicotine vaping were significantly associated with more frequent nicotine vaping (both p<0.05). Greater endorsement of instrumentality-related reasons for co-use corresponded with more frequent monthly nicotine vaping and a three-fold increase in odds of ever chasing cannabis with nicotine. Conclusions: Vaping serves purposes that differ by substance; nicotine vaping was more closely related to reducing tobacco smoking-related harms, and cannabis vaping was more closely related to circumventing social problems posed by cannabis smoking. Lifetime sequential co-use practices and more frequent nicotine vaping were associated with enhancing the intoxicating effects of cannabis. Findings have implications for understanding nicotine and cannabis co-use. AAssssoocciiaattiioonnss bbeettwweeeenn uussee ppaatttteerrnnss ffoorr iinnhhaalleedd nniiccoottiinnee aanndd ccaannnnaabbiiss pprroodduuccttss aammoonngg aadduullttss wwhhoo vvaappee bbootthh ssuubbssttaanncceess Danielle M. Smith (University at Buffalo; Roswell Park Comprehensive Cancer Center) Lynn Kozlowski (University at Buffalo) Richard J. O'Connor, Andrew Hyland, Maciej Goniewicz (Roswell Park Comprehensive Cancer Center) R. Lorraine Collins (University at Buffalo) Background: Co-occurring use (co-use) of nicotine and cannabis is common, and represents a broad range of use behaviors, including concurrent use, sequential use, and co-administration. Co-use has primarily been examined through the lens of smoked tobacco and cannabis. Little is known Conference Abstracts 86 about those who co-use vaped nicotine and cannabis, and the degree to which specific co-use behaviors are associated, based on mode of use and/or substance. Methods: We conducted an online pilot survey on use behaviors related to inhaled forms of nicotine and cannabis. The survey was administered to 112 concurrent vapers of these substances. Descriptive analyses examined sample characteristics and co-administered vaping and smoking behaviors. Logistic regressions examined associations in use behaviors by mode and substance. Results: Participants who vaped nicotine and cannabis monthly also reported monthly smoking of cannabis (100%), and cigarettes (58%). Most exhibited moderate-to-high degrees of mental health and substance use problems. Monthly concurrent use exhibited weaker associations by mode, and stronger associations by substance. Specific sequential use practices showed mode- specific associations; with greater frequency of cigarette smoking and nicotine vaping. Co- administration was associated with more frequent tobacco and cannabis smoking. Conclusions: Those who regularly vape nicotine and cannabis tend to engage in some form of smoking. Different subsets of nicotine and cannabis co-use behaviors showed different associations with patterns of use and modes of drug delivery. Findings underscore the diversity of nicotine and cannabis use behaviors among co- users, and the importance of considering influences by both substance and mode of use. TThhee rreellaattiioonnsshhiipp bbeettwweeeenn aannxxiieettyy ssttaattuuss aanndd ccaannnnaabbiiss uussee aammoonngg OOEEFF//OOIIFF vveetteerraannss:: SSoommaattiizzaattiioonn aass aa mmooddeerraattoorr Denise D. Tran, Jennifer Wang, Reagan E. Fitzke, Jordan P. Davis, Eric R. Pedersen (University of Southern California) American veterans are vulnerable to high rates of anxiety and substance use. Notably, veterans with mental health challenges report higher rates of cannabis use than those without mental health concerns. In the general population, anxiety often overlaps with a variety of somatic symptoms. However, less is known regarding the effects of both anxiety and somatization on cannabis use behaviors in veterans. Online surveys were completed by 1006 veterans (Mage=34.74, 75.1% male) with a three-month follow-up. Negative binomial regression was used to test whether baseline somatization moderated the relationship between baseline anxiety and frequency of past 30-day cannabis use three months later at follow- up. Compared to those who screened negative, those who screened positive for anxiety reported greater past 30-day cannabis use rates at follow- up (IRR=6.74; 95% CI [4.68, 9.71]). Higher levels of somatization also predicted greater past 30-day cannabis use rates (IRR=1.30; 95% CI [1.24, 1.36]). Somatization moderated the relationship between anxiety and past 30-day cannabis use frequency. At both low and high levels of somatization, those who screened positive for anxiety reported greater cannabis use days compared to those who screened negative for anxiety. However, among those who screened negative for a probable anxiety disorder, an increase in somatization is associated with an increase in past 30-day cannabis use frequency. Findings suggest that those who screen positive for anxiety and those who screen negative for anxiety, but endorse high levels of somatization, may likely benefit most from cannabis use prevention and/or intervention. SSeellff--ddeetteerrmmiinnaattiioonn tthheeoorryy ccoorrrreellaatteess ooff ccaannnnaabbiiss-- rreellaatteedd oouuttccoommeess aammoonngg aa llaarrggee,, mmuullttii--ssiittee ssaammppllee ooff ccoolllleeggee ssttuuddeenntt Dylan K. Richards, Jude G. Chavez, Matthew R. Pearson (University of New Mexico) Craig A. Field (University of Texas at El Paso) Addiction Research Team (University of New Mexico) Background: Self-determination theory (SDT) is a general theory of human motivation that has been applied to understand why people engage in healthy behaviors. That is, more autonomous reasons for engaging in healthy behaviors is associated with an increased likelihood of initiating and maintaining healthy behaviors. Recent research has shown that this framework is useful for understanding engagement in harm reduction behaviors for alcohol among college students. It stands to reason that this framework may be equally useful for cannabis with the potential to inform intervention efforts for reducing harms associated with unhealthy Conference Abstracts 87 cannabis use. In the present study, we examined autonomous functioning and psychological need satisfaction per SDT as correlates of cannabis- related outcomes among a large, multi-site sample of college students who use cannabis. Method: Participants were 5497 students recruited from Psychology Department participant pools at 10 universities in 8 states across the U.S (AK, CA, CO, ID NM, TX, VA, WA) who completed an online survey for partial course credit. We restricted analyses to those who reported consuming cannabis at least once in the past month (n=1398, about one-fourth of the total sample). The analytic sample was 20.25 years of age on average (SD=3.88) and mostly female (68.9%) and non-Hispanic white (59.4%). Participants completed measures assessing the three facets of autonomous functioning (authorship, interest-taking, and susceptibility to control) and satisfaction and frustration of the psychological needs for autonomy, competence, and relatedness, as well as a variety of measures assessing cannabis-related outcomes, including severity of use (i.e., Cannabis Use Disorder Identification Test [CUDIT]), negative consequences (i.e., Marijuana Consequences Questionnaire [MACQ]), and harm reduction behaviors (i.e., Protective Behavioral Strategies for Marijuana [PBSM]). Results: Consistent with hypotheses, overall autonomous functioning was positively correlated with PBSM (r=.179, p<.001) and negatively correlated with CUDIT (r=-.160, p<.001) and MACQ (r=-.092, p=.017). Separating autonomous functioning by subscale (i.e., domain), the correlations were largest in magnitude for the authorship domain (r=.250, r=-.240, and r=-.168, respectively, p<.001). Also consistent with hypotheses, greater satisfaction of each psychological need was positively correlated with PBSM (.149.05). Students who used cannabis more frequently in general (≥36 of 60 days, per median split) reported more positive sleep-related cannabis expectancies (t[86]=1.99, p=.05, Cohen’s d=0.42). Negative sleep-related cannabis expectancies (α=.80) were not associated with any cannabis or sleep variables assessed (ps>.05). Negative sleep- related cannabis expectancies were marginally lower among students with greater frequency of general cannabis use (t[87]=-1.89, p=.06, Cohen’s d=0.40) and cannabis use for sleep aid (≥3 Conference Abstracts 106 times/week, per median split; t[87]=-1.87, p=.06, Cohen’s d=0.40). Further, greater negative sleep- related cannabis expectancies were reported among male (versus female) students (t[87]=2.30, p=.02, Cohen’s d=0.51). Conclusion: Overall, replication of this 2-factor structure showed good fit to the data and both subscales demonstrated good internal consistency. Although replication is needed, results suggest that college students using cannabis for sleep aid may have less negative sleep-related expectancies about sleep. Positive sleep-related cannabis expectancies were associated with dysfunctional beliefs about sleep, but not sleep behaviors or cannabis use. Current novel findings extend existing knowledge of general non-sleep related cannabis expectancies among cannabis users in terms of cannabis use correlates. Findings can help identify at-risk students and modifiable risk factors that can be targeted to minimize harm with cannabis sleep aid use. Future research is needed among larger samples to (a) assess generalizability to varied populations and (b) clarify temporal sequencing of potential consequences through longitudinal designs. EEaarrllyy ccaannnnaabbiiss iinniittiiaattiioonn iiss aassssoocciiaatteedd wwiitthh dduuaall ssiimmuullttaanneeoouuss ssuubbssttaannccee uussee aanndd ttrrii--uussee Priscila Dib Goncalves, Megan E. Marziali, João Mauricio Castaldelli-Maia, Silvia S Martins (Department of Epidemiology, Mailman School of Public Health, Columbia University) Introduction: Cannabis use combined with other substances, such as tobacco and/or alcohol, is related to heavy patterns of substance use and adverse social outcomes. We aimed to examine whether early age of cannabis initiation was associated with dual simultaneous substance (tobacco + cannabis / alcohol + cannabis) use and tri-use (tobacco + alcohol + cannabis). Methods: We included participants aged between 12-21 years old (n= 21,127) that reported any cannabis use in the 2016-2019 National Survey on Drug Use and Health. Blunt use was defined as smoking part of a cigar with cannabis in it (“taking some tobacco out of a cigar and replace it with marijuana”) and simultaneous alcohol/cannabis use as “using marijuana/hashish at the same time or within a couple of hours of last alcohol use”. We created four-level categorical variables, one for the exposure (age of cannabis initiation) and one for the outcome (simultaneous use). The exposure variable was comprised of the following levels based on different adolescent developmental stages: 1) 12-13 years old; 2) 14-15 years old, 3) 16-18 years old), and 4) 19-21 years old. The four outcome categories were defined as: 1) cannabis use only (no simultaneous use), 2) blunt use (simultaneous cannabis and tobacco use), 3) simultaneous alcohol/cannabis, and 4) tri- use (tobacco, cannabis and alcohol). Weighted multinomial logistic regression was used to obtain adjusted odds ratios (aOR) for categories of use, adjusting for sociodemographic characteristics (reference outcome category: cannabis use only). Results: Most participants were 16+ years old (88%), non-Hispanic white (56%), with a family income equal or higher than $40K (54%) and a mean age of cannabis initiation of 15 years old. When examining simultaneous use outcomes, 70% of the participants reported some form of simultaneous use (54.85% blunt use, 14.72% tri- use, and 1.12% simultaneous alcohol/cannabis). Regarding age of cannabis initiation, 18.97% started at age 12-13, 31.85% at age 14-15, 42.18% at age 16-18 and 7.00% at age 19-21. Cannabis initiation in early adolescence (< 16 years old) was associated with simultaneous use outcomes when compared to cannabis initiation at age 16 and older. More specifically, when comparing with cannabis initiation at age 19-21, individuals reporting cannabis initiation at age 12-13 had 24.26 times the likelihood of tri-use (95% CI=17.33-33.95); and 6.64 times the likelihood of blunt use (95% CI=5.15-8.55), however, no associations were found with simultaneous alcohol/cannabis use (aOR 2.98, 95% CI= 0.94-9.37). When using cannabis initiation at age 16-18 as reference, cannabis initiation at age 12-13 was associated with six times the likelihood of tri-use (95% CI= 5.02-7.86), three times of blunt (95% CI= 2.42-3.71), and twice of simultaneous alcohol/cannabis use (95% CI= 1.26-4.40). Conclusions: Cannabis initiation in early adolescence was associated with dual and tri- simultaneous substance use. Interventions focused on delaying cannabis initiation could have a positive impact on decreasing dual and tri- substance use. Considering that 1 in 5 individuals reporting cannabis use started in early Conference Abstracts 107 adolescence, primary prevention strategies should start before the age of 12. MMiilliittaarryy sseexxuuaall vviioolleennccee aanndd ccaannnnaabbiiss uussee ddiissoorrddeerr aammoonngg OOEEFF//OOIIFF vveetteerraannss Reagan E. Fitzke, Daniel S. Lee, Denise D. Tran, Jordan P. Davis, Eric R. Pedersen (University of Southern California) Sexual violence experienced during military service can have lasting negative psychosocial effects on veterans long after service ends. Current research reports veterans who have experienced military sexual violence are more likely to develop mental health and substance use disorders. Little is known, though, about the relationship between military sexual violence and subsequent cannabis use disorder (CUD). The current study investigated prevalence of military sexual violence among a large sample of OEF/OIF veterans (N = 1,005), its effect on later CUD, and the potential moderating role of resilience. First, t-tests examined differences in experience of military sexual violence between LGBQ vs. heterosexual and female vs. male veterans. Then, using logistic regressions controlling for sex, sexual orientation, and race/ethnicity, we assessed the effects of sexual violence on CUD (Cannabis Use Disorder Identification Test score of 12 or higher), followed by adding resilience into the model to examine independent and moderation effects. T-test results indicated that female (t(99) = -7.46, p < 0.001) and LGBQ veterans (t(38) = -3.85, p < 0.001) were significantly more likely to experience military sexual violence. Veterans who experienced military sexual violence had higher odds of screening for CUD (OR = 3.37; 95% CI = [1.76, 6.45]). Greater resilience was associated with lower odds of CUD (OR = 0.40; 95% CI = [0.23, 0.70]), but it did not moderate the relationship between sexual violence and CUD. Our findings are in line with prior work that female and LGBQ veterans may experience sexual violence during military service at higher rates. We also showed that veterans who experience military sexual violence are at increased risk for subsequent CUD. This suggests the importance of screening for military sexual violence among veterans, including among those seeking care for CUD, as well as screening for CUD symptoms among those who have experienced military sexual violence. Since we found that greater levels of resilience were associated with lower odds of CUD, programs and treatments aimed at building resilience to adverse events may have independent protective effects on CUD. EExxpplloorriinngg sseennssaattiioonn--sseeeekkiinngg aanndd ffiirrsstt ccaannnnaabbiiss uussee eexxppeerriieenncceess aass ccoorrrreellaatteess ooff ccuurrrreenntt ccaannnnaabbiiss uussee pprroobblleemmss iinn yyoouunngg aadduulltt ccaannnnaabbiiss aanndd ttoobbaaccccoo ccoo--uusseerrss.. Riley J. Wyatt, Amy M. Cohn, Sarah J. Ehlke (University of Oklahoma Health Sciences Center) Introduction: Current cannabis use is high in young adults (ages 18-24) and cannabis use disorder (CUD) rates have increased over the last decade. Subjective responses to one’s first use of cannabis may explain continued use, wherein more positive first use experiences influence progression to regular and problematic use. Sensation seeking is associated with cannabis use and may also influence cannabis problem severity. This study examined the relationship between subjective experiences at first cannabis use and sensation seeking on cannabis use behavior and CUD diagnosis. Method: Participants were 97 young adult current cannabis and tobacco co- users (55.7% male, 50.5% White) who completed the baseline survey of a longitudinal study examining daily patterns of tobacco and cannabis use and co-use. Participants completed the 4-item Brief Sensation Seeking Scale and indicated intensity of 15 sensations at first cannabis use (1 = not at all to 5 = intense): dizziness, lightheadedness, nausea, paranoia, confusion, happiness, anxiety, taste, smell, relaxation, energy, difficulty inhaling, coughing or choking, giddiness or laughter, and rush or “buzz.” Cannabis use outcomes included: (1) past 30-day number of days used cannabis; (2) past 30-day cannabis intoxication intensity (1 = not at all high to 10 = extremely high); and (3) likelihood of a CUD (score ≥ 12 on the Cannabis Use Disorder Identification Test- Revised). Analyses: A principal components analysis (PCA) reduced the 15 sensations into factors. Next, separate regression analyses (linear or binary logistic) were conducted to examine the associations of the PCA-derived factors and sensation seeking on the cannabis outcomes, controlling for gender, race, and age at first cannabis use. Conference Abstracts 108 Results: Over half (61.9%) of the participants met criteria for a CUD. PCA results indicated a 4- factor solution: (1) “positive emotional experiences” (e.g., happy); (2) “negative physical experiences” (e.g., dizzy); (3) “negative emotional experiences” (e.g., paranoia); and (4) “taste and smell.” Regression results indicated greater negative physical experiences were associated with an increased likelihood of a CUD diagnosis (AOR = 1.93, p = .038) and lower average cannabis intoxication (b = -0.343, p = .049). Greater negative emotional experiences at first use were associated with less frequent cannabis use in the past 30 days (b = -2.043, p = .028). Conclusion: Negative emotional experiences associated with first use of cannabis may impede continued use. Negative physical experiences (e.g. nausea, lightheadedness) may be variable in perception, which could explain the inconsistent associations of this factor with CUD diagnosis and past 30-day use. Understanding subjective experiences of first cannabis use could be used as a treatment target by helping patients identify reinforcing sensations associated with their use, and guiding them to sober activities with similar sensations. UUnneexxppeecctteedd PPuubblliicc HHeeaalltthh EEmmeerrggeenncciieess——AA DDeessccrriippttiivvee AAnnaallyyssiiss ooff TTrreennddss iinn tthhee MMaassssaacchhuusseettttss MMeeddiiccaall aanndd AAdduulltt--uussee CCaannnnaabbiiss MMaarrkkeettss Samantha M. Doonan, Olivia Laramie (Massachusetts Cannabis Control Commission) Jessica Liu (Harvard T.H. Chan School of Public Health, Harvard University) Marianne Sarkis, Julie K. Johnson (Massachusetts Cannabis Control Commission) In the United States (U.S.), access to legal cannabis through regulated state markets is rapidly changing, but little is known about consumer behavior when states with legal access choose to restrict access due to public health or safety concerns. This exploratory study examines the Massachusetts recreational (“adult-use”) and medical cannabis markets before and during two major public health crises that changed consumer access: (1) the e-cigarette or vaping use-associated lung injury (“EVALI”) crisis and state requirements to stop vape product sales in the adult-use and medical markets from 9/24/2019- 12/12/2019, and (2) the SARS-CoV-2 (“COVID- 19”) crisis and state emergency order that temporarily halted all adult-use retail sales but not medical sales from 3/24/20-5/24/20. We used the Massachusetts seed-to-sale tracking system (i.e., Metrc) to run descriptive statistics examining medical sales for patients and all adult-use sales across the largest product segments: buds, vapes and concentrate (each), edibles, and other categories (i.e., prerolls, concentrate, infused nonedible, infused beverage, kief, shake/trim, suppository) spanning May 2019-December 2020. To account for classification changes in the dataset, sales for vape products and concentrate (each) product were summed into a single category. We further examined trends in registered patients and “per patient” spending across cannabis product types (i.e., monthly sales per product category divided by monthly registered patients). Our findings showed a decline in market share for the vape and concentrate (each) product category in the adult and medical markets during the EVALI crisis when sales were halted, while buds, followed by edibles and other products increased in market share during this time. After vape products could be sold again, the market share of vape and concentrate (each) products rose but did not return to pre-EVALI levels. We did not observe an overall shift in market share by product type in the medical market during the COVID-19 adult- use store closure. Although gross medical sales trended upward, increases in the medical market did not account for the vast majority of prior spending in the adult-use market during the market’s closure. The number of registered active patients also trended upward. From December 2020 to December 2021, there was a 56% increase in patients (59,173 to 92,148 patients), and we observed a marked increase following the temporary halt of adult-use sales. During and prior to halted adult-use sales, we observed an increase in per patient monthly spending for cannabis products. This was particularly salient for buds. Per patient monthly spending for buds peaked in May 2020. Study limitations include a single state sample and that this study does not examine changes to the illicit market. We cannot make any causal claims and any long-term implications of trends observed during the EVALI and COVID-19 crises are unknown. Our exploratory findings suggest that there are a Conference Abstracts 109 range of consumer responses in the legal market in response to temporary loss of access, including evidence of consumers changing legal markets (i.e., adult-use to medical) and changing product types. More research is needed, particularly to understand potential concurrent changes in the illicit market during these crises. PPaatttteerrnnss ooff mmaarriijjuuaannaa uussee aanndd sseexxuuaall vviioolleennccee aammoonngg sseexxuuaall mmiinnoorriittyy hhiigghh sscchhooooll ssttuuddeennttss:: PPeerrssppeeccttiivveess ffrroomm tthhee CCaalliiffoorrnniiaa HHeeaalltthhyy KKiiddss SSuurrvveeyy Grisel Garcia-Ramirez, Sabrina Islam (University of California, Berkeley and Prevention Research Center of Pacific Institute for Research and Evaluation) Background: Sexual minority students are at risk for adverse outcomes associated with substance use and violence. The vast majority of research literature, however, has focused on university students and alcohol consumption. There is an increased need to understand the distinct vulnerabilities of youth who have a non- heterosexual sexual orientation, and marijuana use as more state legalize and normalize the recreational use of marijuana in various forms. This study examines marijuana use and sexual victimization among high school students by sexual minority status. Methods: We analyzed data from 9th (n=50,973) and 11th (n=41,692) graders who participated in the California Healthy Kids Survey during the 2018-2019 school year. Students were asked to report their sexual identity and orientation (‘straight,’ ‘gay/lesbian,’ ‘bisexual,’ ‘something else,’ ‘I am not sure yet’, ‘decline to respond’), whether they had ever been sexually assaulted, marijuana use in their lifetime and past 30 days, and demographic characteristics. We conducted multi-level logistic regression analysis to assess relationships between lifetime and past-30-day marijuana use, sexual minority status and sexual victimization (SV). Analyses were performed using Stata, version 15.1. Results: The initial model indicated that the interaction terms for sexual minority status and sexual assault were not significantly associated with lifetime and past 30-day marijuana use. Analyses without the interaction terms suggest that students who identify as gay or lesbian, and who selected ‘I am not sure yet’ and ‘something else’ had higher odds of reporting past-30-day marijuana use than their ‘straight’ peers (OR=1.50 p<0.01 95%CI: 1.15, 1.96; OR=1.34 p<0.01 95%CI: 1.20, 1.50; OR=2.33 p<0.01 95%CI: 2.11, 2.59). Results also suggested that students who identified as gay or lesbian, bisexual, and students who selected ‘something else’ as their sexual orientation had higher odds to report lifetime marijuana use than their ‘straight’ peers (OR=1.90 p<0.01 95%CI: 1.43, 2.52; OR=1.45 p<0.05 95%CI: 1.03, 2.04; OR=1.57 p<0.01 95%CI: 1.29, 1.92). However, students who declined to respond about their sexuality are less likely to report lifetime marijuana use than their ‘straight’ peers (OR=0.82 p<0.05 95%CI: .68, .99) Additionally, students who reported sexual assault have almost six times higher odds of reporting lifetime and past-30-day and lifetime marijuana use (OR=6.68 p<0.01 95%CI: 3.99, 11.20; OR=6.03 p<0.01 95%CI: 3.80, 9.56). Overall, students who are in 11th grade, are male, and Hispanic have higher odds of reporting marijuana use. Conclusion: Overall, risks of marijuana use tend to be more pronounced among sexual minority students who have experienced sexual violence. Our findings suggest that students who identified as ‘something else’ may be at particular risk. These results are congruent with prior research on college populations that have identified undergraduate students who are bisexual and unsure of their sexual identity at heightened risk for SA. Greater efforts are needed to examine the intersection of substance use and sexual victimization and the disproportionate burden facing adolescents across multiple categories of sexual orientation. LLeeggaalliizzaattiioonn ooff ““ssmmookkaabbllee”” mmeeddiiccaall mmaarriijjuuaannaa wwaass aassssoocciiaatteedd wwiitthh ssiiggnniiffiiccaannttllyy iinnccrreeaasseedd TTHHCC uussee ppeerr cceerrttiiffiieedd ppaattiieenntt iinn tthhee FFlloorriiddaa mmeeddiiccaall mmaarriijjuuaannaa pprrooggrraamm:: AAnn iinntteerrrruupptteedd ttiimmee sseerriieess aannaallyyssiiss Sebastian Jugl, Ruba Sajdeya, Melanie Buhlmann, Robert L. Cook, Joshua D. Brown, Almut G. Winterstein, Amie Goodin Background/Objective: Tetrahydrocannabinol (THC) is the primary psychoactive cannabinoid in cannabis. THC has potential therapeutic efficacy for some conditions but can lead to adverse drug events when used in higher concentrations. Conference Abstracts 110 Higher concentrations are typical for smokable medical marijuana (MMJ) products which often contain 20 % THC or more. On March 18, 2019, Florida Senate Bill 182 (SB182) authorized cannabis flower for smoking. The objective of this study was to assess the effect of SB182 on the weekly dispensed amount of THC per certified MMJ patient in Florida. Methods: Data were obtained from the Florida Department of Health Office of Medical Marijuana Use (OMMU) weekly reports, which detailed aggregate MMJ utilization from 04/06/2018 (onset of reporting) until 03/13/2020 (onset of COVID-19 emergency orders). We calculated the weekly amount of dispensed THC per certified patient by summing the total weekly amount of THC in dispensed MMJ across all non-smokable and smokable routes of administration in the pre- and post- periods. These totals were divided by total certified MMJ patients in that week. Given the lack of information of THC content in smokable MMJ products in Florida, we calculated THC amounts using averages of THC concentrations in smokable products (10% and 20%) based on published estimates from other states with MMJ programs. Interrupted time series analysis without control was conducted by fitting a generalized least squares linear model to estimate changes in the overall trend and changes in the level after SB182. We used a phase-in period to allow for time between the first dispensed MMJ products in a form of smoking (3/22/2019), and measurable effects of SB182 (07/19/2019). Autocorrelation and moving averages were ruled out by using autocorrelation and partial autocorrelation plots. Results: In the scenario with 10% average THC in smokable products, SB182 led to a significant level increase of 35.1 mg (95% CI: 4.85-56.34 mg) in the weekly dispensed amount of THC per MMJ patient. This was an increase of roughly 10.7% compared to the estimated amount in the week before the phase-in period (328.20 mg). In the same scenario, a continuously increased trend of 2.23 mg per week (95% CI: 1.16-3.31 mg) was observed in the 35 weeks following SB182. In the second scenario (assumed 20% average THC in smokable products), SB182 was associated with a level increase of 138.4 mg (95% CI: 102.14-174.75 mg) in the weekly dispensed amount of THC per MMJ patient, which corresponds to an increase of 42.2%, compared to 328.20 mg, and a trend increase of 5.62 mg (95% CI: 4.33-5.61 mg) per week in the following 35 weeks from law implementation. Conclusion: The inclusion of smokable MMJ in the Florida MMJ program was associated with a significant increase of the weekly dispensed amount of THC per certified MMJ patient, by increasing the level, as well as the overall trend following law implementation. Further studies should investigate the potential health and safety impacts of increases in dispensed THC in MMJ programs. EExxpplloorriinngg SSoocciiaall SSuuppppoorrtt aass aa MMooddeerraattoorr bbeettwweeeenn AAddvveerrssee CChhiillddhhoooodd EExxppeerriieenncceess aanndd CCaannnnaabbiiss UUssee Sterling M. Hubbard, Shelby A. King, Sarah N. Elder, Matthew J. Woodward, Jenni B. Teeters (Western Kentucky University) Background: Research shows that unresolved childhood trauma can lead to an abundance of health disparities and increase the risk for problematic substance use in adulthood, particularly problematic cannabis use. Individuals who have experienced four or more adverse childhood experiences (ACEs) double their risk of problematic substance use, but research has shown that protective factors, such as social support, can buffer against this cumulative risk. Although past research has found that social support can buffer against problematic alcohol use, there is a need to understand how social support relates to ACEs and problematic cannabis use. The present study aims to identify if perceived social support moderates the association between ACEs and cannabis use. In addition to overall perceived social support, various domains of perceived social support (friends, family, and significant other support) were examined to determine whether these domains differentially impacted the association between ACEs and cannabis use. Methods: Data were collected using a university online subject pool (n = 382) from a college student sample from a mid-southern university (75% Caucasian, 78% female). The participants completed a battery of measures assessing perceived social support (i.e., the Multidimensional Scale of Perceived Social Support; MSPSS), childhood trauma (i.e., the Adverse Childhood Experiences Scale; ACEs), and Conference Abstracts 111 the number of days of cannabis use in the past month (i.e., the Drug Use Questionnaire). Results: Moderation analyses were used to analyze if overall perceived social support and the various domains of MSPSS (family, friend, and significant other) moderated the relation between ACES and cannabis use. Findings revealed that perceived support from a significant other significantly moderated the association between ACEs and cannabis use (b = .17, p = .04) such that the relation between ACEs and cannabis use was stronger when there was higher perceived support from a significant other. Overall social support and support from friends and family members did not moderate this association. Discussion: Overall, these findings contradict the previous literature in that more support from a significant other did not buffer the association between ACEs and cannabis use. Rather, the relation between ACEs and cannabis use was strongest at higher levels of significant other support. This suggests that perceived social support may play a unique role alternative to buffering the relationship between ACEs and cannabis use. Future work is needed to examine factors such as level of cannabis use within a trauma survivor’s social network or significant other accommodation of symptoms, which may enhance perceptions of support but also encourage cannabis use. DDrriivviinngg UUnnddeerr tthhee IInnfflluueennccee ooff CCaannnnaabbiiss:: AAssssoocciiaattiioonnss wwiitthh LLaatteenntt PPrrooffiilleess ooff SSuubbssttaannccee UUssee aanndd EExxeeccuuttiivvee CCooggnniittiivvee FFuunnccttiioonniinngg Tammy Chung, Marc Steinberg, Mary Bridgeman, YingYing Chen Background: Driving under the influence of cannabis (DUIC) almost doubles car crash risk (odds ratios range: 1.28-2.49). Known DUIC correlates include male gender, low perceived danger of DUIC, and greater frequency of cannabis and other drug use. Less is known about the role of executive cognitive functioning (e.g., skills in planning, organization) as a correlate of DUIC. Deficits in executive cognitive functioning could precede, and be exacerbated by heavy cannabis use, potentially contributing to DUIC risk. Objectives: This cross-sectional survey study used a person-centered analysis (latent profile analysis) to (1) identify prototypical profiles representing aspects of executive functioning and substance use in young adults, and (2) determine which profiles were associated with self-report of DUIC. We hypothesized that at least two profiles would be identified: mainly or only cannabis use vs polysubstance use. We also predicted that the polysubstance use profile would be associated with worse executive functioning and self-report of DUIC. Method: Young adults (N=69; ages 18- 25; mean age=20.0 [SD=1.9]; 62.3% female; 75.4% White, 13.0% Black, 11.6% Other race/ethnicity) who reported weekly cannabis use were recruited from the community in Pittsburgh, PA to participate in a study of cannabis effects on cognition. Baseline collected demographics, self- reported age of cannabis use onset (age <16 vs age >16), NIDA modified ASSIST, Marijuana Withdrawal Checklist, Alcohol Use Disorders Identification Test (AUDIT), Behavior Rating Inventory of Executive Functioning (BRIEF) (working memory, organization/planning scales), and Marijuana Consequences Questionnaire (item on “driven a car when high” in past 6 months). Latent profile analysis (LatentGold 5.1) was used to identify distinct classes, testing the fit of 1-5 classes. Each model included 10 indicators: age of cannabis use onset, frequency of cannabis and tobacco use, cannabis withdrawal severity, ASSIST scores for cannabis, cocaine and hallucinogens (the substances most often reported), AUDIT score, and BRIEF working memory, and organization/planning scores. For the best fitting model, covariates (i.e., self-report of DUIC, age, gender) were examined as profile correlates in a separate, final step. Results: A model with 3 latent profiles was selected (see Figure). The profiles represented “Polysubstance Use” (40.8%), “Primary Cannabis” (22.3%), and “Later Onset Cannabis” (36.9%). Polysubstance use profile reported more cannabis-related problems and other drug use, and more problems with executive functioning than the other profiles (p<.05). Later Onset (vs Polysubstance Use) profile had older onset age (p<.05), and had the lowest level of cannabis involvement. Primary Cannabis and Later Onset profiles did not differ in report of problems with executive functioning. DUIC in the past 6 months (reported by 50.7% of the total sample) was more likely to be reported by Polysubstance use than Later Onset profile (p<.01). Polysubstance use profile was younger than Primary Cannabis profile (p<.05). The profiles did not differ by gender. Conclusions: As Conference Abstracts 112 hypothesized, Polysubstance Use profile (which reported early cannabis use onset; and worse executive functioning, including problems with memory, planning/ organization) was associated with self-report of DUIC. Results highlight the role of self-reported executive functioning difficulties in DUIC risk, and the importance of targeting polysubstance use in preventing DUIC. FFrreeqquueennccyy ooff CCaannnnaabbiiss UUssee aanndd PPaaiinn IInntteennssiittyy:: RReessuullttss ffrroomm aa NNaattiioonnaall SSaammppllee Verlin Joseph (University of New Mexico) Brenda W. Dyal, Tasha Schoppee, Keesha Roach, Miriam O. Ezenwa, Yingwei Yao, Diana J. Wilkie (University of Florida) Background: Chronic pain has become a leading public health concern with roughly 20% of Americans currently living with chronic pain. Individuals living with chronic pain are more likely to report lower quality of life, additional comorbidity, and increased medical expenditures than individuals without pain. Many individuals have initiated cannabis use to manage their pain as an alternative to opioid use. However, studies examining associations between cannabis use and pain intensity rarely include the frequency of cannabis. Aim: Our study aim was to address this scientific gap by elucidating the frequency of cannabis use and its association with pain intensity in an adult sample from across the United States. Methods: In a cross-sectional study, we surveyed N=2,206 adults using three sampling approaches, a national panel, a Florida panel, and a community-engaged sample. Participants completed surveys including pain and substance use. Pain intensity was measured using the Pain Intensity Number Scale (PINS, 0-10 scale) by asking participants to rate their current pain and least and worst in the past 24 hours. Average Pain Intensity (API) was the mean of the aforementioned PINS scores. Frequency of cannabis use was measured by asking individuals to indicate any past 30 day use and to indicate how often they currently use cannabis: once a month, more than once a month but less than weekly, 1 to 6 days a week, or every day. Bivariate and multiple linear regressions were utilized to identify associations between pain intensity, cannabis use, and sociodemographic factors. Results: Our sample was majority female (54.1%), non-Hispanic White (63.1%), and 45.9 ± 17.60 (SD) years of age. Participants reported an API score of 1.50 ± 2.49. For the 35.3% reporting pain greater than 0, the API score was 4.26 ± 2.40. Of the responding participants (n=600), 52% reported they never used cannabis and 25% indicated current cannabis use; with 9.0% of our sample indicating use once a month, 5.7% indicating use more than once a month but less than weekly, 4.0% reporting use 1 to 6 days a week, and 6.1% reporting using every day. Sociodemographic factors including race/ethnicity, education, and employment were associated with pain intensity at the bivariate level. Substance use factors including frequency of cannabis use and alcohol use were also associated with pain intensity at the bivariate level. After controlling for sociodemographic and substance use factors, using cannabis once a month (β=1.879), more than once a month but less than weekly (β=0.981), 1 to 6 days a week (β=1.830), and every day (β=1.491) were associated with API (p<.001). Additionally, having a disability (β=1.965) was associated with API (p≤.001). Discussion: We found above average pain intensity in this sample and about 48% of respondents were using cannabis. Increased frequency of cannabis use was statistically associated with higher average pain intensity after controlling for sociodemographic and substance use factors. As individuals continue to use cannabis, researchers should continue to assess frequency of cannabis use within the context of pain. Copyright: © 2022 Authors et al. These are open access abstracts distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction, provided the original author and source are credited, the original sources is not modified, and the source is not used for commercial purposes.