Abstracts from the 2020 Virtual Scientific Meeting of the Research Society on Marijuana July 24th, 2020最新文献

{"title":"A Mapping Literature Review of Medical Cannabis Clinical Outcomes and Quality of Evidence in Approved Conditions in the United States, from 2016 to 2019","authors":"S. Jugl, Aimalohi Okpeku, B. Costales, Earl Morris, Golnoosh Alipour-Harris, J. Hincapie-Castillo, Nichole E. Stetten, Ruba Sajdeya, S. Keshwani, Verlin W Joseph, Yahan Zhang, Yun Shen, Lauren E. Adkins, A. Goodin","doi":"10.26828/cannabis.2021.01.000.25","DOIUrl":"https://doi.org/10.26828/cannabis.2021.01.000.25","url":null,"abstract":"Background: Medical cannabis is available to patients by physician order in two-thirds of the United States (U.S.) as of 2020, but remains classified as an illicit substance by federal law. States that permit medical cannabis ordered by a physician typically require a diagnosed medical condition that is considered qualifying by respective state law. Objectives: To identify and map the most recently (2016-2019) published clinical and scientific literature across approved conditions for medical cannabis, and to evaluate the quality of identified recent systematic reviews. Methods: Literature search was conducted from five databases (PubMed, Embase, Web of Science, Cochrane, and ClinicalTrials.gov), with expansion and update from the National Academies of Sciences, Engineering, and Medicine’s (NASEM) comprehensive evidence review through 2016 of the health effects of cannabis on several conditions. Following consultation with experts and stakeholders, 11 conditions were identified for evidence evaluation: amyotrophic lateral sclerosis (ALS), autism, cancer, chronic pain, Crohn’s disease, epilepsy, glaucoma, HIV/AIDS, multiple sclerosis (MS), Parkinson’s disease, and posttraumatic stress disorder (PTSD). The following exclusion criteria were imposed: preclinical focus, non-English language, abstracts only, editorials/commentary, case studies/series, and non-U.S. study setting. Data extracted from studies included: study design type, outcome, intervention, sample size, study setting, and reported effect size. Studies classified as systematic reviews with or without meta-analysis were graded using the AMSTAR-2 tool by two raters to evaluate the quality of evidence, with additional raters to resolve cases of evidence grade disagreement. Results: A total of 438 studies were included after screening. Five completed randomized controlled trials (RCTs) were identified, and an additional 11 trials were ongoing, and 1 terminated. Cancer, chronic pain, and epilepsy were the most researched topic areas, representing more than two-thirds of all reviewed studies. The quality of evidence assessment for each condition suggests that few high-quality systematic reviews are available for most conditions, with the exceptions of MS, epilepsy, and chronic pain. In those areas, findings on chronic pain are mostly in alignment with the previous literature, suggesting that cannabis or cannabinoids are potentially beneficial in treating chronic neuropathic pain. In epilepsy, findings suggest that cannabidiol is potentially effective in reducing seizures in pediatric patients with drug-resistant Dravet and Lennox-Gastaut syndromes. In MS, recent high-quality systematic reviews did not include new RCTs, and are therefore not substantially expanding the evidence base. In sum, the most recent clinical evidence suggests that for most of the conditions assessed, we identified few studies of substantial rigor and quality to contribute to the evidence base. However, there are some c","PeriodicalId":383892,"journal":{"name":"Abstracts from the 2020 Virtual Scientific Meeting of the Research Society on Marijuana July 24th, 2020","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125121606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mobile Phone Sensor-Based Detection of Subjective Cannabis “High” in Young Adults: A Feasibility Study in Real-World Settings","authors":"Sangwon Bae, T. Chung, B. Suffoletto, M. Islam, Jiameng Du, Serim Jang, Yuuki Nishiyama, Raghu Mulukutla, A. Dey","doi":"10.26828/cannabis.2021.01.000.31","DOIUrl":"https://doi.org/10.26828/cannabis.2021.01.000.31","url":null,"abstract":"Aim: Acute cannabis intoxication can impair motor skills and cognitive functions. Given possible impairment related to acute cannabis intoxication, we explored whether mobile phone-based sensors (e.g., GPS, text/phone logs) can detect episodes of acute cannabis intoxication (subjective “high” state) as self-reported in natural environments by young adults. Methods: Young adults (ages 18-25), who reported cannabis use at least twice per week, were recruited by research registry and Craigslist to participate in a mobile phone data collection study (up to 30 days) in Pittsburgh, PA (2017-2019). Participants responded to fixed time phone surveys (3 times/day) and self-initiated reports of cannabis use (start/stop time, rating of subjective high: 0-10, 10=very high). Our mobile AWARE app continuously collected phone sensor data, which was segmented into 5-minute windows for analysis. We built and tested multiple machine learning classifiers (e.g., Support Vector Machine, Light Gradient Boosting Machine (LGBM)) on training (60%), validation (20%), and test (20%) datasets to determine which classifier performed best in distinguishing subjective cannabis “high” (rating=1-10) vs “not high” (rating=0). To minimize the influence of imbalanced data on model performance in the training dataset, we used both over-sampling with Synthetic Minority Over-sampling Technique (SMOTE) and random under-sampling of the majority class, so that both classes (“high”, “not-high”) had the same number of training samples. We also tested the importance of time features (i.e., day of week, time of day: morning, afternoon, evening) relative to smartphone sensor data only on model performance, since time features alone might predict “routines” in cannabis use. Results: Young adults (N=57; 58% female; mean age=19.82 [SD=1.76]; 71.92% White, 15.78% Black, 12.28% Asian and other ethnicity) reported 451 episodes of cannabis use, mean subjective high rating=3.77 (SD=2.64). The sensor dataset included 1,648 datapoints representing reports of subjective \"\"high\"\" and 60,580 data points representing \"\"not high\"\" reports. For the two time-based features only model, the LGBM classifier had 91% accuracy in detecting subjective cannabis intoxication (vs “not-high”) in the test dataset (Area Under the Curve [AUC]=0.75). Combining smartphone sensor data with the two time-based features (day of week, time of day) improved model performance, with 95% accuracy (AUC=0.93), indicating that smartphone features contribute unique information, and that time features further improve model performance in detecting rating of subjective cannabis \"\"high\"\". Among the 102 phone sensor features entered into the analyses (smartphone sensors + time model), some of the most important features (the top 2 were the time features) included travel (GPS: smaller travel radius within a day when feeling \"\"high”), movement (e.g., smaller number of activity changes when feeling \"\"high”), and communication/sociability (e.g.,","PeriodicalId":383892,"journal":{"name":"Abstracts from the 2020 Virtual Scientific Meeting of the Research Society on Marijuana July 24th, 2020","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123445902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Participation in the Massachusetts Adult-Use Cannabis Industry by Race/Ethnicity and Gender Across Job Titles","authors":"Samantha M. Doonan, Julie K. Johnson","doi":"10.26828/cannabis.2021.01.000.3","DOIUrl":"https://doi.org/10.26828/cannabis.2021.01.000.3","url":null,"abstract":"States across the U.S. are increasingly legalizing cannabis for recreational purposes (“adult-use”) through licensure of privately-run cannabis establishments. Legalization efforts have partially emerged in response to unequal prohibition enforcement which disproportionately affects Black and Hispanic/Latino communities. However, the extent to which people from communities most affected by prohibition are included in the legal industry is unknown. This study is a preliminary analysis of participation by race/ethnicity and gender across job titles in the Massachusetts adult-use cannabis industry from its inception through April 2020 (18-month time span). Data were extracted from cannabis establishments (i.e., licensed adult-use cannabis businesses that collectively form the cannabis industry in Massachusetts). Agent registration forms are required for board members, directors, executives, managers, employees, and volunteers across all license types (e.g. retail, cultivation, product manufacturing). As of April 2020, there were 4,907 unique agents (volunteers excluded) across 205 cannabis establishment licenses. Among agents, 77% were White, 9% were Hispanic/Latino, and 6% were Black/African American, <3% identified other racial and ethnic groups, and data were missing for approximately 6% of the sample (exceeds 100%, as persons can be included in more than one race/ethnicity). Excluding agents with missing race/ethnicity or gender (n=347) and grouping persons at two-levels: (1) white or not-white identifying, and (2) male or female, we found 53% of agents were white and male, 29% were white and female, 12% were an ethnicity and/or race(s) that did not include white (“non-white”) and male, and 5% were non-white and female. Approximately 8% of agents held senior-level positions (i.e., board members, directors, executives) versus less senior positions (i.e., employees, managers). However, white males held 72% of senior positions, white females held 17%, non-white males held 9%, and non-white females held 1%. This study is subject to limitations, including that persons who identified as white and another race(s) (n=103) are included in white-identifying categories; future work will address this limitation. Further, all data is typically reported by supervisors rather than self-reported, therefore race/ethnicity and gender are subject to misidentification. Nonetheless, findings suggest that at approximately one and a half years after retail stores opened, participation in the Massachusetts adult-use cannabis industry skews white and male, and this trend is pronounced in senior-level positions.","PeriodicalId":383892,"journal":{"name":"Abstracts from the 2020 Virtual Scientific Meeting of the Research Society on Marijuana July 24th, 2020","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121611595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Longitudinal Effects of Acute Cannabis Exposure on Automobile Driving Behavior in a Naturalistic Simulated Environment","authors":"S. Meda, E. Boer, N. Ward, Gregory A. Book, Michael Stevens, Catherine Boyle, M. Mubeen, G. Pearlson","doi":"10.26828/cannabis.2021.01.000.21","DOIUrl":"https://doi.org/10.26828/cannabis.2021.01.000.21","url":null,"abstract":"Background: Driving is a complex day-to-day activity that employs a variety of cognitive and psychomotor functions in harmony, many of which are known to be affected acutely by CNB intoxication which could in turn pose a significant public health risk. The recent legalization of both recreational and/or medicinal marijuana in several states has thus created an urgent need to better understand the effects of CNB on such functions in the context of driving. The present study employs a longitudinal, double-blind, placebo- 2 active dose study to investigate the effects of CNB on a variety of driving-related behaviors in a controlled, naturalistic simulated environment. Methods: The current study employed N=37 subjects (N=25 male, frequent cannabis users, mean age 24.25+7.01), each exposed to a placebo, low and high dose of CNB on three separate days. On each day, following a single acute inhaled 0.5 g dose of either 0%, 3% or 5-7% of THC via a desktop vaporizer, subjects drove a virtual driving simulator (RTI SimVehicle platform) three times inside an MRI scanner and once out of scanner, randomized, and dispersed throughout an eight hour daily period. During each driving session three distinct real time behavioral tasks corresponding to lane-keeping following simulated wind gusts (operational), lead car following (tactical) and safe overtaking (strategic) were assessed and corresponding behavioral data were computed using custom Matlab scripts. Data were analyzed using a mixed model framework in SPSS v24 which included dose, session, instrument (desktop v MRI), dose*session, dose*instrument and session*instrument as primary factors, covarying for age and sex. Results: Intoxicated subjects made significantly fewer gas pedal corrections (p<0.02) during the car following task and similarly fewer corrections to the steering reversal rate (p<0.02) during the lane weaving task, suggesting reduced awareness under the influence of cannabis. In addition we found that several variables showed significant differences in terms of estimates captured throughout the day suggesting that overall risk taking lessened as the day progressed and CNB effects wore off. Also, data trends suggested that under the high dose subjects took longer to return to baseline from their ‘impaired’ driving patterns. Key metrics that showed such significant daily effects included mean headway (p<0.001) and time to collision (p=0.02) from the car following task, deviation of lane position (p=0.03) from the lane weaving task, median gap (p=0.02) and overtaking speed (p=0.02) from the overtaking task. Although many driving measurements differed depending on whether driving was done in MRI or at a desktop setting, these differences had no relationship to different drug dose levels. Conclusion: In summary, key driving functions affected under higher doses of CNB largely agreed current cross sectional literature. Generally, largest impairments in driving behavior seemed to occur within 1-4 hou","PeriodicalId":383892,"journal":{"name":"Abstracts from the 2020 Virtual Scientific Meeting of the Research Society on Marijuana July 24th, 2020","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130923071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Examination of Relationships Between Mental Health Symptoms, Marijuana Use Motives, and Marijuana Use Outcomes Among Late Adolescents in Washington State","authors":"Elliot C. Wallace, Ling-Hui Chu, Jason J. Ramirez","doi":"10.26828/cannabis.2021.01.000.13","DOIUrl":"https://doi.org/10.26828/cannabis.2021.01.000.13","url":null,"abstract":"Adolescence is a critical period of development which can be affected by the initiation and escalation of marijuana use. Examining risk factors of marijuana misuse among adolescents is a public health priority. Previous research examining depression and anxiety as risk factors for marijuana use among young adults is mixed. Some studies found a positive relationship between mental health symptoms and marijuana use, while other studies have found gender-specific relationships or no relationship at all. Despite this research, little is known regarding mental health symptoms and marijuana use among adolescents. The aims of current analysis were to 1) examine associations between mental health symptoms and marijuana use behavior among adolescents, and 2) examine coping motives as a moderator of the relationship between mental health symptoms and marijuana outcomes. The current study included 170 late adolescents (15-18 years old, Mage = 16.86, SDage = 0.94, 50% female) recruited from Washington State. The sample was stratified by gender and marijuana use such that participants ranged from never using marijuana to reporting heavy, regular marijuana use. Participants were asked to complete three online assessments over the course of six months. Data described here come from the first online assessment. This included a 4-item measure of mental health symptoms (depression and anxiety) in the past 2 weeks, in addition to measures of marijuana use, marijuana-related consequences, and marijuana use motives. A series of initial linear regression models that controlled for age and sex found that mental health symptoms were not significantly associated with typical marijuana use (p > .05) but were significantly positively associated with marijuana-related consequences (β = 0.33, p < .001). Additional models that also included coping motives found that stronger endorsement of using marijuana to cope with negative affect was associated with more hours high in a typical week (β = 0.25, p < .05) and more marijuana-related consequences (β = 0.24, p < .05). There were no significant interactions between coping motives and mental health symptoms in predicting either marijuana use or consequences (ps > .05). The findings suggest that adolescents who report more mental health symptoms do not necessarily use more marijuana than those who report fewer symptoms, but may be at greater risk for experiencing negative consequences as a result of their usage. Additionally, the results suggest a stronger endorsement of using marijuana to cope with negative affect is related to greater marijuana use and risk for experiencing negative consequences. No evidence of moderation was found suggesting the relationships between mental health symptoms and marijuana use outcomes do not vary as a function of coping motives. Screening during adolescence for early signs of mental health symptoms to predict risk may be beneficial towards preventing negative outcomes and providing early interven","PeriodicalId":383892,"journal":{"name":"Abstracts from the 2020 Virtual Scientific Meeting of the Research Society on Marijuana July 24th, 2020","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132225007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Interactive Personalized Feedback and Text-Messaging Intervention is Associated with Reductions in Substance-Impaired Driving","authors":"Shelby A King, Sterling M Hubbard, Jenni B Teeters","doi":"10.26828/cannabis.2021.01.000.38","DOIUrl":"https://doi.org/10.26828/cannabis.2021.01.000.38","url":null,"abstract":"Background: Substance-impaired driving continues to be a national public health concern and data suggests that up to one-third of college students report driving after drinking and/or cannabis use in the past year. To date, little research has investigated whether brief, technology-based interventions can be used to reduce substance-impaired driving among young adults. Recent research indicates that interventions that incorporate personal contact lead to larger effect sizes than fully automated interventions. The present study compared an interactive text-messaging intervention to an automated text-messaging intervention in the context of a brief, mobile-phone based substance-impaired driving intervention. Method: Participants were recruited through the university’s subject pool (n = 46) and completed measures that assessed impaired driving at baseline and three-month follow-up. In order to be eligible, students had to be at least 18 years or older, have access to a motor vehicle, and report driving after drinking two or more drinks and/or driving after cannabis use at least three times in the past three months. Participants were randomly assigned into four conditions: personalized feedback plus text-messaging (n = 12), personalized feedback plus automated text messaging (n = 11), an active control condition- (substance use information, n = 12), and an assessment only control condition (n = 11). Results: Repeated measures ANOVAs were run to compare the number of times driving while impaired over time across conditions. Analyses revealed the personalized feedback plus text-messaging led to significantly greater reductions over time in the number of times driving while impaired compared to participants in the assessment-only condition (p = .022). Additionally, participants in the personalized feedback plus text-messaging condition reported a greater reduction over time in the number of times driving while impaired than those in the personalized feedback plus automated text messaging condition, though this difference was not significantly significant (p = .066). Surprisingly, the text-messaging conditions did not result in significantly greater reductions in substance-impaired driving compared to the active control condition (p = .227). Discussion: Overall, these findings provide preliminary support for the short-term efficacy of a mobile-delivered personalized feedback intervention with interactive text-messaging in reducing substance-impaired driving among young adults. Due to Covid-19, three-month follow-up data could not be collected from half of the originally enrolled sample, resulting in underpowered analyses. Additional data will be collected as part of this pilot trial in the coming year.","PeriodicalId":383892,"journal":{"name":"Abstracts from the 2020 Virtual Scientific Meeting of the Research Society on Marijuana July 24th, 2020","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128997736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Information Sources and Training Needs on Medical Marijuana- Preliminary Results from a State-wide Provider Survey","authors":"Ruba Sajdeya, J. Jean-Jacques, A. Shavers, Yan Wang, N. Pipitone, M. Rosenthal, A. Winterstein, R. Cook","doi":"10.26828/cannabis.2021.01.000.22","DOIUrl":"https://doi.org/10.26828/cannabis.2021.01.000.22","url":null,"abstract":"Medical marijuana (MMJ) is legal in the state of Florida for the treatment of specific qualifying medical conditions.1,2 As of July 2020, over 2,450 physicians are authorized to order MMJ, and 360,000 patients are registered in Florida’s MMJ program.3 With this rapid uptake come concerns regarding physicians’ knowledge about MMJ,4–7 and the lack of preparing physicians-in-training to manage MMJ.4,7,8 We conducted a state-wide survey of certified MMJ providers in Florida. The survey was developed by the Consortium for Medical Marijuana Clinical Outcomes research team. The aim of the survey was to inform physicians of the mission of the consortium, which is to support and disseminate research. The survey items were developed accordingly, and the survey was pilot tested with a small group of physicians. We identified all physicians licensed to certify patients for MMJ who care currently practicing in the State of Florida (n=1609), to investigate their information sources and training needs regarding MMJ. The survey was disseminated via mail and email, including a $40 incentive for survey completion. Preliminary responses from 51 (5%) providers (mean age 56, 74% male) are summarized here. The sample included providers from 22 Florida counties and represented a broad range of medical specialties. The majority (92%) practiced in both medical marijuana and traditional medical practice. To learn about MMJ, 98% used research articles, 90% used online sources, 86% learned from dispensary staff, 84% learned from discussions with other providers, 72% used books, 65% used conferences, 61% used magazines, and 35% had a personal experience with marijuana. The sources most cited as “very useful” were conferences (51%), research articles (50%), discussions with other providers (47%), and online sources (47%). Topics rated as a high priority for training included drug-MMJ interactions (80%), strategies to help patients reduce their use of opioids or other drugs (80%), information about the selection of doses and CBD: THC ratios (80%), evidence for managing specific medical conditions or symptoms (78%), information about the effect of different phytocannabinoids and terpenes (75%), advantages and disadvantages of specific modes of delivery (71%), general updates on research findings (71%), educational information about the endocannabinoid system (67%), the safety of medical marijuana use (55%), identification and management of cannabis use disorder (51%), and comparison of products available in different dispensaries (49%). The majority of providers either strongly agreed or agreed (77%) that they could provide better care if they knew which products their patients receive at dispensaries. Physicians use a blend of primary research, online sources, and exchanges with colleagues to learn about MMJ. Perceived needs for more pharmacological information and indication-specific detail for treatment regimen were high. Most physicians believe that details on dispensed MMJ","PeriodicalId":383892,"journal":{"name":"Abstracts from the 2020 Virtual Scientific Meeting of the Research Society on Marijuana July 24th, 2020","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123314485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What’s Pain Got To Do With It?: Young Adults With and Without Chronic Pain Perceive Minimal Risks and Moderate Benefits from Cannabis Use","authors":"Bethany R. Shorey-Fennell, Renee E. Magnan, Benjamin O Ladd, J. Fales","doi":"10.26828/cannabis.2021.01.000.9","DOIUrl":"https://doi.org/10.26828/cannabis.2021.01.000.9","url":null,"abstract":"Many young adults experience chronic pain and given its wide availability and potential pain reducing properties, young adults may use cannabis to self-medicate for pain. However, little is known about young adult users’ perceptions of potential health risks and benefits of cannabis, and whether these perceptions differ by chronic pain status. As a part of a larger study, young adult recreational cannabis users (N=176, ages 18-29) who reported using at least once a week completed assessments of use frequency and perceived cannabis-related risks and benefits. The sample had a high proportion of participants who met criteria for chronic pain (51.1%). The majority of the sample reported using daily or multiple times daily (80.7%) with an average of 2.68 (SD=1.42) sessions per day across administration modes (e.g. smoking, edibles, tinctures). Participants answered questions about their lifetime chances of experiencing five cannabis-related risks (personal harm, negative health outcome, negative mental health outcome, harming someone else, increased pain) and benefits (personal benefit, positive health outcome, positive mental health outcome, benefitting someone else, decreased pain; 1=Very low to 7=Very high). Overall, young adult users perceived their risk to be very low (M=1.62, SD=.73) and 40.3% of the sample had an average risk score (combined across the five risk items) of 1.00, while only one participant reported an average risk above 4.00. In particular, participants reported a low lifetime chance of experiencing personal harm (M=1.51, SD=.90), harming someone else (M=1.20, SD=.58), or experiencing increased pain (M=1.24, SD=.74) due to their cannabis use. In contrast, young adult users perceived somewhat high chances of experiencing benefits related to their cannabis use (M=4.78, SD=1.46). In particular, participants perceived a high chance of experiencing reduced pain (M=5.88, SD=1.55), personal benefit (M=4.84, SD=1.86), and positive mental health outcomes (M=4.82, SD=1.77). There was no difference based on pain status on frequency of use, average daily sessions, or perceived risks, and only one difference in perceived benefits. Participants without chronic pain anticipated more personal benefit from cannabis use (M=5.15, SD=1.74) than those with chronic pain (M=4.53, SD=1.94, t(171)=2.21, p=.03). Overall, results suggest young adult recreational users perceive very low risks of their cannabis consumption and moderately high benefits, regardless of pain status. Looking at individual areas of potential risk and benefits may yield targets for future health education campaigns. For example, perceptions of low risk/high benefits regarding mental health outcomes may not be accurate for this heavy using sample.","PeriodicalId":383892,"journal":{"name":"Abstracts from the 2020 Virtual Scientific Meeting of the Research Society on Marijuana July 24th, 2020","volume":"56 44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122027527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cannabis Use and Sleep: A look at the Expectations, Outcomes, and the Role of Age","authors":"E. Winiger, Leah N. Hitchcock, A. Bryan, Cinnamon Bidwell","doi":"10.26828/cannabis.2021.01.000.12","DOIUrl":"https://doi.org/10.26828/cannabis.2021.01.000.12","url":null,"abstract":"Objectives: Estimate the associations between cannabis use with expectations of cannabis being a sleep aid, subjective sleep outcomes, and the influence of age on these relationships. Methods: In 152 moderate cannabis users (67% female, mean age = 31.45, SD = 12.96, age range = 21-70) we assessed the influence of cannabis use history and behaviors on expectations of cannabis being a sleep aid and subjective sleep outcomes via the Pittsburgh Sleep Quality Index (PSQI). We used moderation analysis to examine the role of age in the relationship between cannabis use and subjective sleep outcomes. Results: Cannabis use along with more frequent cannabis use were associated with increased expectations that cannabis use improves sleep (all β > 0.03, p < 0.04). Frequency of recent cannabis use and reported average THC or CBD concentration were largely not associated with subjective sleep outcomes. However, endorsing current cannabis use was associated with worse subjective sleep quality (β = 1.34, p = 0.02) and increased frequency of consuming edibles was associated with worse subjective sleep efficiency (β = 0.03, p = 0.04), lower sleep duration (β = 0.03, p = 0.01), and higher global PSQI scores (worse overall sleep) (β = 0.10, p = 0.01). Furthermore, age was determined to have a moderating influence on the relationship between increased concentration of CBD and both better sleep duration and sleep quality (both p < 0.03). Conclusion: Cannabis users have higher expectations of cannabis being a sleep aid, but few associations existed between cannabis use and subjective sleep outcomes with the exceptions of endorsing any cannabis use and frequency of edible use. Additionally, age may be an important moderator of the potential positive influence CBD concentration can have on sleep.","PeriodicalId":383892,"journal":{"name":"Abstracts from the 2020 Virtual Scientific Meeting of the Research Society on Marijuana July 24th, 2020","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116417776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Cannabis Retail Environment for Young Adults in Los Angeles: Which Metrics Matter","authors":"C. Firth, Rachana Seelam, Anthony Rodriguez, R. Shih, J. Tucker, E. D’Amico, E. Pedersen","doi":"10.26828/cannabis.2021.01.000.7","DOIUrl":"https://doi.org/10.26828/cannabis.2021.01.000.7","url":null,"abstract":"Background: Currently, there is no consensus on how to measure cannabis retailer density. Researchers and policy makers need clear measures to support policies that mitigate unintended harms of legalization. To address this gap, our unique study leverages cannabis retailer location data in Los Angeles County (LA), California, and home addresses from an LA-based cohort of young adults (21-25 years) to develop a series of cannabis retailer density metrics and assess their relationship with cannabis use. Methods: Drawing from GIS-based measures of alcohol outlet density, we developed a series of cannabis retailer density metrics: proximity, counts within 5- 10- 15-, and 30-minute driving distances, and considered retail licensure. Retailer addresses were compiled by webscraping cannabis registries (e.g. Weedmaps) and conducting field visits (March 2019). Home addresses were geocoded for participants who completed a 2019 survey (n 1097). A series of retailer metrics was created for each person. We fit a series of multi-level logistic regression models with a random intercept by census tract (CT) (models adjusted for age, gender, race/ethnicity, college student, and CT median household income) to assess which retailer metrics were associated with any past month cannabis use. Results: Thirty percent of participants used cannabis in the past month, and 430 retailers were operating in LA in 2019. Thirty-nine percent of participants had a retailer within a mile from home and an average of 14 retailers within a 10-minute drive. Licensed retailers were less prevalent; the nearest licensed retailer was on average 2.4 miles from home. The odds of past month cannabis use significantly increased by 3% (OR:1.03, 95% CI:1.00–1.07) for every additional licensed retailer within a 10-minute drive in adjusted model; use was also significantly associated with licensed retailers within a 30-minute drive (OR:1.01, 95% CI:1.00–1.01). Proximity metrics were not significantly associated with past month cannabis use.","PeriodicalId":383892,"journal":{"name":"Abstracts from the 2020 Virtual Scientific Meeting of the Research Society on Marijuana July 24th, 2020","volume":"9 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134529462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}