Age differences in patterns of cannabis use among an online US sample of adults who consume cannabis frequently.

Background: Cannabis use is increasing among middle-aged and older US adults, populations that are particularly vulnerable to the adverse effects of cannabis. Risks for adverse effects differ by cannabis use patterns, which have become increasingly heterogeneous. Nevertheless, little is known about age differences in such patterns.Objective: To investigate age differences in cannabis use patterns, comparing younger (age 18-49), middle-aged (age 50-64), and older adults (age ≥65).Methods: A total of 4,151 US adults with past 7-day cannabis consumption completed an online survey (35.1% male; 60.1% female; 4.8% identified as "other"). Regression models examined age differences in cannabis use patterns.Results: Compared to younger adults, middle-aged and older adults were more likely to consume cannabis during evening hours (50-64: adjusted odds ratio [aOR] = 2.98, 95% CI 2.24-3.96; ≥65: aOR = 4.23, 95 CI 2.82-6.35); by only one method (50-64: aOR = 1.67, 95% CI 1.34-2.09; ≥65: aOR = 3.38, 95 CI 2.24-5.09); primarily by smoking as the only method (50-64: aOR = 1.52, 95% CI 1.29-1.78; ≥65: aOR = 2.12, 95 CI 1.64-2.74); but less likely to consume concentrated cannabis products (concentrates) with extremely high %THC (50-64: aOR = 0.71, 95% CI 0.54-0.93; ≥65: aOR = 0.30, 95 CI 0.16-0.55). Age differences in cannabis use patterns were also observed between middle-aged and older adults.Conclusion: Findings suggest that middle-aged and older adults may engage in less risky cannabis use patterns compared to younger groups (e.g. lower likelihood of consuming highly potent concentrates). However, findings also underscore the importance of recognizing risks unique to these older demographics, such as smoking-related health events. Consequently, prevention strategies targeting such use patterns are needed.

Engagement, initiation, and retention in medication treatment for opioid use disorder among young adults: A narrative review of challenges and opportunities.

INTRODUCTION: Opioid Use Disorder (OUD) is a catastrophic public health problem for young adults (YAs) and their families. While medication for OUD (MOUD) is safe, effective, and recognized as the standard of care, its' uptake and success have been limited in YAs compared to older adults. METHODS: This narrative review summarizes the existing literature and highlights select studies regarding barriers to YA MOUD, potential explanations for those barriers, and strategies to overcome them. RESULTS: Barriers are prominent along the entire cascade of care, including: treatment engagement and entry, MOUD initiation, and MOUD retention. Hypothesized explanations for barriers include: developmental vulnerability, inadequate treatment system capacity, stigma against MOUD, among others. Interventions to address barriers include: promotion of family involvement, increasing provider capacity, integration of MOUD into primary care, assertive outreach, and others. CONCLUSIONS: Integrating an adapted version of family coaching from the Community Reinforcement Approach and Family Training (CRAFT) and other models into YA MOUD treatment serves as an example of an emerging novel practice that holds promise for broadening the funnel of engagement in treatment and initiation of MOUD, and enhancing treatment outcomes. This and other developmentally-informed approaches should be evaluated as part of a high-priority clinical and research agenda for improving OUD treatment for YAs.

Impact of Early-Life Adversity on Cannabis Use: Exploring the Mediating and Moderating Effects of Chronic Pain.

Background: Although research suggests that early-life adversity (ELA) and cannabis use are linked, researchers have not established factors that mediate or modify this relationship. Identifying such factors could help in developing targeted interventions. We explored chronic pain as a potential mediator or moderator of this relationship. Methods: Using an online study, we collected cross-sectional data about ELA, cannabis use, and chronic pain to test whether ELA (adverse childhood experiences total score) is associated with cannabis use, and to examine pain as a potential mediator or moderator. Cannabis use was examined two ways: times used per day, and categorized as non-, some, or regular use. Chronic pain was measured as present/absent and as the number of painful body locations (0-8). Analyses used linear and multinomial regression. Results: ELA, chronic pain, and cannabis use were common among respondents. ELA was strongly associated with both measures of cannabis use. The number of painful body locations modestly mediated the association of ELA with cannabis use, reducing the magnitude of regression coefficients by about 1/7. The number of painful body locations modified the association between ELA and cannabis use (p≤0.006), while chronic pain presence/absence (a less-informative measure) had only a nonsignificant modification effect (p≥0.10). When either ELA or pain was high, the other was not associated with cannabis use; when either ELA or pain was low, more painful locations or higher ELA (respectively) was associated with more intense cannabis use. Conclusion: These exploratory findings suggest the importance of ELA and chronic pain as factors contributing to cannabis use, and of accounting for these factors in developing treatment and prevention strategies addressing cannabis use.

Evaluating age-related disparities in cannabis-related problems among LGBT+ versus non-LGBT+ adults.

LGBT+ adults demonstrate greater cannabis-related problems (e.g., Cannabis Use Disorder [CUD]) compared to non-LGBT+ counterparts. No study has explored age-related disparities in cannabis problems across the adult lifespan, nor have studies identified specific CUD criteria that contribute to elevated CUD among LGBT+ adults. The purpose of this study was to examine associations between LGBT+ identity and age with endorsement of CUD criteria in a sample of regular cannabis consumers. An online sample of N = 4334 (25.1% LGBT+) adults aged 18-64 residing in the U.S. completed an online survey about cannabis use behaviors and CUD diagnostic criteria. Bivariate contrasts revealed significantly greater CUD criteria endorsement among LGBT+ respondents, largely driven by differences at younger ages. However, this effect disappeared in the majority of adjusted logistic regression models. LGBT+ identity was associated with greater probability of use in larger amounts (adjOR = 2.10, 95% CI: 1.22-3.60) and use despite physical/mental health problems (adjOR = 2.51, 95% CI:1.23-5.03). No age*LGBT+ identity interactions were detected. Plotted trends depict more pronounced disparities in outcomes among LGBT+ adults under 35 years. Several potential risk and protective factors including employment, education, and reasons for use were identified. There were age-related differences in these characteristics among LGBT+ and non-LGBT+ respondents. Initial findings highlight the need for LGBT+ research examining trends in health outcomes and sociodemographic and cannabis characteristics across the lifespan. The study also provides a substantive contribution regarding specific cannabis-related problems that young LGBT+ cannabis consumers may be more likely to endorse than their non-LGBT+ counterparts.

Early life adversity and substance use: The mediating role of mood and the moderating role of impulsivity.

INTRODUCTION: Early life adversity (ELA) is a risk factor for substance use and misuse, and multiple factors mediate and moderate this association. We examined whether moods mediate the relationships between ELA and nicotine use, cannabis use, and co-use, and whether these mediation effects varied as a function of delay discounting. METHODS: A total of 2555 adults completed a delay discounting task and responded to questions related to demographics, ELA, mood, and substance use. Data were analyzed using Pearson correlations and moderated mediation using Hayes' PROCESS macro (V3.4, Model 15). RESULTS: ELA was positively associated with cannabis use, nicotine use, co-use of both substances, depressed and stressed moods, and it was negatively associated with positive mood. While cannabis use was associated negatively with stressed and depressed moods and positively with positive mood, nicotine use was associated negatively with positive mood. Moderated mediation analyses indicated that positive mood mediated the relationship between ELA and cannabis use for those with average and above average delay discounting. Positive mood also mediated the relationship between ELA and co-use among those with above average delay discounting. CONCLUSION: The results suggest that ELA's associations with cannabis use and cannabis-nicotine co-use may be partially attributable to ELA's effects on positive mood among those who are predisposed to moderately to highly impulsive decision making.

Exploring survey methods for measuring consumption quantities of cannabis flower and concentrate products.

Background: Researchers need accurate measurements of cannabis consumption quantities to assess risks and benefits. Survey methods for measuring cannabis flower and concentrate quantities remain underdeveloped.Objective: We examined "grams" and "hits" units for measuring flower and concentrate quantities, and calculating milligrams of THC (mgTHC).Methods: Online survey participants (n = 2,381) reported preferred unit (hits or grams), past-week hits and grams for each product, and product %THC. Quantile regression compared mgTHC between unit-preference subgroups. Hits-based mgTHC calculations assumed a universal grams-per-hit ratio (GPHR). To examine individualized GPHRs, we tested a "two-item approach," which divided total grams by total hits, and "one-item approach," which divided 0.5 grams by responses to the question: "How many total hits would it take you to finish 1/2 g of your [product] by [administration method]?"Results: Participants were primarily daily consumers (77%), 50% female sex, mean age 39.0 (SD 16.4), 85% White, 49% employed full-time. Compared to those who preferred the hits unit, those who preferred the grams unit reported consuming more hits and grams, higher %THC products, and consequently, larger median mgTHC (flower-hits mgTHC: 32 vs. 91 (95%CI: 52-67); flower-grams mgTHC: 27 vs. 113 (95%CI: 73-95); concentrate-hits mgTHC: 29 vs. 59 (95%CI: 15-43); concentrate-grams mgTHC: 61 vs. 129 (95%CI: 43-94)). "Two-item" and "one-item" approach GPHRs were similar and frequently 50% larger or smaller than the universal GPHR.Conclusion: Allowing respondents to choose "hits" or "grams" when reporting cannabis quantities does not compromise mgTHC estimates. A low-burden, one-item approach yields individualized "hit sizes" that may improve mgTHC estimates.

Extending Gender- and Sex-Based Analyses in Cannabis Research: Findings from an Online Sample of Gender Diverse Young Adult Consumers.

Background: Gender and sex can influence cannabis behaviors and consequences (Cannabis Use Disorder [CUD]). Research typically examines sex and gender independently. Gender analyses often exclude transgender and gender diverse (TGD) populations. The objectives of this study were to (a) replicate less frequent cannabis use among TGD young adults compared to cisgender counterparts (b) compare severity of CUD, and (c) examine the role of sex on cannabis outcomes. Method: Online survey participants between 18 and 34 (N=1213) from the United States who reported past-week cannabis consumption provided information on cannabis practices and CUD from February to April 2022. Bivariate analyses explored gender differences across frequency (daily frequency across routes of administration [ROAs]; daily use of 2+ ROAs, use throughout the day) and CUD. Adjusted regression models provided model-estimated marginal probabilities and means to examine differences across four gender-by-sex categories (cisgender men: n=385; cisgender women: n=681; male-at-birth TGD: n=26; female-at-birth TGD: n=121). Benjamini-Hochberg adjustments (10% false discovery rate) were applied. Results: Among past-week consumers, female-at-birth TGD participants demonstrated lower probability of daily flower smoking compared to cisgender men (0.54 vs. 0.67). Cisgender men reported greater probability of daily concentrate vaping (0.55) compared to cisgender women (0.45) and female-at-birth TGD participants (0.27); they were also more likely to report daily use of 2+ ROAs (cisgender men: 0.51 vs. cisgender women: 0.39 and female at-birth TGD: 0.27). TGD participants reported greater CUD severity compared to cisgender counterparts, t(1096)=-3.69, p=0.002. Model-estimated means found lower severity among cisgender women compared to cisgender men and female-at-birth TGD participants. Stratified regression models support positive associations between daily cannabis use and CUD in both TGD in cisgender groups. Among cisgender participants, greater severity was predicted by male sex, younger age, and younger age of onset. Conclusions: The present study replicates and extends a prior finding that among past-week cannabis consumers, TGD young adults report less frequent use than cisgender counterparts. Despite this, TGD participants demonstrated greater severity of CUD. While analyses were limited by the small sample of male-at-birth TGD participants, the article highlights the importance of expanding sex- and gender-focused analyses. Future work is expanding efforts to target hard-to-reach consumers.

Evaluating cannabis exposure in survey items: Insights, strategies, and remaining challenges identified from cognitive interviewing.

Background: The diversity in characteristics of cannabis products and behavior patterns make evaluation of cannabis exposure in population-based, self-report surveys challenging. Accurate identification of cannabis exposure and related outcomes necessitates a thorough understanding of participants' interpretations of survey questions assessing cannabis consumption behaviors. Objectives: The current study utilized cognitive interviewing to gain insight on participants' interpretation of items in a self-reported survey instrument used to estimate the quantity of THC consumed in population samples. Methods: Cognitive interviewing was used to evaluate survey items assessing cannabis use frequency, routes of administration, quantity, potency, and perceived "typical patterns" of use. Ten participants ≥18 years (n = 4 cisgender-men; n = 3 cisgender-women; n = 3 non-binary/transgender) who had used cannabis plant material or concentrates in the past week were recruited to take a self-administered questionnaire and subsequently answer a series of scripted probes regarding survey items. Results: While most items presented no issues with comprehension, participants identified several areas of ambiguity in question or response item wording or in visual cues included in the survey. Generally, participants with irregular use patterns (i.e., non-daily use) reported more difficulty recalling the time or quantity of cannabis use. Findings resulted in several changes to the updated survey, including updated reference images and new quantity/frequency of use items specific to the route of administration. Conclusion: Incorporating cognitive interviewing into cannabis measurement development among a sample of knowledgeable cannabis consumers led to improvements in assessing cannabis exposure in population surveys, which may otherwise have been missed.

Dimensionality and differential functioning of DSM-5 cannabis use disorder criteria in an online sample of adults with frequent cannabis use.

The DSM-5 criteria for cannabis use disorder (CUD) combine DSM-IV dependence and abuse criteria (without legal problems) and new withdrawal and craving criteria. Information on dimensionality, internal reliability, and differential functioning of the DSM-5 CUD criteria is lacking. Additionally, dimensionality of the DSM-5 withdrawal items is unknown. This study examined the psychometric properties of the DSM-5 CUD criteria among adults who used cannabis in the past 7 days (N = 5,119). Adults with frequent cannabis use were recruited from the US general population through social media and filled in a web-based survey about demographics and cannabis use behaviors. Factor analysis was used to assess dimensionality, and item response theory analysis models were used to explore relationships between the criteria and the underlying latent trait (CUD), and whether each criterion and the criteria set functioned differently by demographic and clinical characteristics: sex, age, state-level cannabis laws, reasons for cannabis use, and frequency of use. The DSM-5 CUD criteria showed unidimensionality and provided information about the CUD latent trait across the severity spectrum. The cannabis withdrawal items indicated one underlying latent factor. While some CUD criteria functioned differently in specific subgroups, the criteria set as a whole functioned similarly across subgroups. In this online sample of adults with frequent cannabis use, evidence supports the reliability, validity, and utility of the DSM-5 CUD diagnostic criteria set, which can be used for determining a major risk of cannabis use, i.e., CUD, to inform cannabis policies and public health messaging, and for developing intervention strategies.

A cross-sectional survey on cannabis: Characterizing motives, opinions, and subjective experiences associated with the use of various oral cannabis products.

BACKGROUND: Cannabis-infused products available for oral consumption include food and drink items (i.e., edibles) (e.g., baked goods, gummy-, chocolate-, and hard-candies, beverages/drinks) as well as non-food formulations (e.g., oils/tinctures, pills/capsules). This study characterized the motives, opinions, and subjective experiences associated with the use of these seven subtypes of oral cannabis products. METHODS: This web-based survey collected cross-sectional, self-report data from a convenience sample of 370 adults regarding various use-motives, self-reported cannabinoid content, subjective experiences, and opinions related to ingesting oral cannabis products with alcohol and/or food. Advice participants had received about modifying oral cannabis product effects, in general, was also collected. RESULTS: Participants reported consuming cannabis baked goods and gummy candies most frequently over the past year (68% and 63%, respectively). Participants were less likely to use oils/tinctures for enjoyment/desire relative to other product types and more likely to use oils/tinctures for therapeutic purposes (e.g., medication-replacement). Self-reported cannabinoid content was highly variable across participants and within product subtype. Participants reported feeling stronger and longer-lasting effects when consuming oral cannabis products on an empty stomach and 43% received advice to "eat a snack or meal" to mitigate effects that are too strong, which contrasts with controlled studies. Finally, 43% of participants reported modifying their experiences with alcohol at least some of time. CONCLUSIONS: These findings underscore the need to further evaluate use-motives as well as the interaction between dietary factors, cannabinoid pharmacokinetics, and subjective drug effects and the interactive effects of oral cannabis products and alcohol in a controlled laboratory setting.

Adult use of highly-potent Δ9-THC cannabis concentrate products by U.S. state cannabis legalization status, 2021.

BACKGROUND: Compared to plant/flower cannabis products, cannabis concentrates have higher average potency of delta-9-tetrahydrocannabinol (Δ9-THC), which may be associated with greater likelihood of cannabis-related harms. Information on factors associated with use of cannabis concentrates is needed. METHODS: Respondents were 4,328 adult past-7-day cannabis users from all 50 U.S. states and Washington DC (DC) who participated in an online 2021 survey. Using logistic regression to generate adjusted odds ratios (aOR), we investigated whether participants in states that enacted recreational cannabis laws (RCL, 12 states plus DC [treated as a state], n = 1,236) or medical cannabis laws (MCL-only, 23 states, n = 2,030) by December 31, 2020 were more likely than those in states without cannabis laws (no-CL, 15 states, n = 1,062) to use cannabis concentrate products in the prior 7 days. RESULTS: Most participants (92.4%) used plant material in the prior 7 days; 57.0% used cannabis concentrates. In RCL, MCL and no-CL states, concentrate use was reported by 61.5%, 56.6%, and 52.5%, respectively. Compared to participants in no-CL states, odds of using cannabis concentrate products were greater among those in RCL states (aOR = 1.47; CI = 1.17-1.84) and MCL-only states (aOR = 1.29; CI = 1.08-1.55). Whether states had legally-authorized dispensaries had little effect on results. CONCLUSION: Results suggest that individuals in MCL-only and RCL states are more likely to use cannabis concentrate products. Determining mechanisms underlying these results, e.g., commercialization, could provide important information for prevention. Clinicians should be alert to patient use of concentrates, especially in MCL-only and RCL states. Continued monitoring is warranted as additional states legalize cannabis use.

Estimating THC Consumption from Smoked and Vaped Cannabis Products in an Online Survey of Adults Who Use Cannabis.

Introduction: Quantification of consumption patterns of the primary psychoactive compounds in cannabis, which cause euphoria or intoxication, is sorely needed to identify potential risks and benefits of use and to provide meaningful safety information to the public. The diversity of products available, multiple methods of administration, and lack of labeling of products have made such quantification challenging. Our group is developing a survey instrument for estimating the quantity of delta 9-tetrahydrocannabinol (THC) consumed in population samples, which is flexible and incorporates individualized reports of patterns of consumption. This study provides an illustration of a procedure for translating self-reported consumption into milligrams of THC (mgTHC), which may serve as a working model for future quantification efforts. Methods: Social media advertising was leveraged to enroll 5627 adults who use cannabis into an online, anonymous survey study. Only those who used cannabis in the past 7 days, used flower or concentrate products, and who chose to report their quantity of use in hits per day or grams per week (n=3211) were included in this report. Formulas were used to estimate mgTHC used per day, in hits per day or grams per week; potency (%THC); constants for estimating the amount of material consumed for each hit; and a method of administration efficiency constant to account for THC loss due to the administration method. Results: The estimate for mgTHC used per day was M=92.8 mg/day (SD=97.2 mg; 1st-3rd quartile range=25-132 mg). The estimated quantity of use was much lower for those reporting in hits (M=43.7 mg, SD=43.8) than for those reporting in grams (M=115.1 mg, SD=107.0). The estimated rate of binge use in the past week, arbitrarily defined as more than 50 mgTHC within any one daily time quadrant, was 6.8%, which increased to 29.3% if 25 mgTHC was used. Conclusions: The approach illustrated in this study goes beyond existing cannabis measures by asking participants to provide highly detailed estimates of their past 7-day use patterns and then applying a logical formula to translate this information into mgTHC. This initial procedure has limitations and lacks generalization; however, we hope this demonstration stimulates testing of similar approaches and relevant laboratory experiments that will enhance the validity of cannabis consumption estimation procedures.

Typical Hits, Grams, or Joints: Evaluating Cannabis Survey Measurement Strategies for Quantifying Consumption.

Aim: Standardized survey measures that capture diverse cannabis consumption patterns are needed to inform public health and policy. Our team is developing a flexible, personalized, low-burden survey item inventory to measure cannabis use patterns and estimate milligrams of THC (mgTHC) consumption in large samples. This study aimed to identify measurement gaps and analysis implications associated with an initial pool of candidate items that assessed use of cannabis flower and concentrate products (smoked and/or vaporized). Methods: Adult cannabis consumers (n=4247) completed an online survey assessing cannabis use frequency, quantity, product types, product potencies (%THC), and methods of administration. Participants chose to report their consumption quantities using one of three units: "hits per day," "grams per week," or "joints per week." Respondents also indicated whether their past 7-day consumption pattern represented their typical pattern. Results: Eighty-one percent had used cannabis daily in the past week. Thirty-two percent, 53%, and 15% chose to report flower and concentrate consumption quantity in hits, grams, and joints, respectively. Approximately 80-90% of responses for the number of hits, grams, and joints consumed were less than the maximum response option-suggesting that response options captured the full range of potential cannabis consumption behaviors. Those who chose grams or joints units were generally more likely to endorse higher risk cannabis use (e.g., morning use, high %THC products) in the past week than those who chose the hits unit (adjusted Odds Ratio range: 1.2-3.9). Among those who reported that the past week represented their typical behavior (83%), past 30-day and past 7-day frequencies were highly correlated (Spearman's Rho=0.77)-supporting the feasibility of using lower burden "typical week" items to extrapolate patterns beyond a 1-week time frame. Conclusion: Results from this online convenience sample of frequent cannabis consumers suggest that the current items yield coherent and expected response patterns. Although additional testing is required, a standardized, flexible survey instrument for large-scale assessment of cannabis patterns and calculation of mgTHC seems within reach.

Generalizability and representativeness: Considerations for internet-based research on substance use behaviors.

Substance use is frequently studied using nonprobability internet-based samples. It is difficult to evaluate the utility of these samples without a clear understanding of two key concepts: generalizability and representativeness. Part 1 of this article (a) offers a particular viewpoint on the distinctions and relations between these two concepts, (b) suggests that purposive (i.e., nonprobability) samples, when used carefully, can be used to construct valid scientific generalizations, and (c) explores some analytical consequences of sampling decisions that change sample heterogeneity. Part 2 of this article explores the overlap between internet-based sampling of substance use behaviors and the concepts discussed in Part 1. Specifically, Part 2 reviews relevant literature and presents example analyses of an internet-based cannabis use data set to highlight (a) strengths and weaknesses of internet-based sampling and (b) how unique elements of a given online platform (e.g., primary motive for visiting the platform) and the substance being studied (e.g., degree of societal stigma) might inform the types of boundaries, caveats, qualifiers, and limitations that are incorporated into a generalization crafted based on the data. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Delta-8 THC use in US adults: Sociodemographic characteristics and correlates.

BACKGROUND: Use of novel cannabis products whose primary active compound is Delta-8 tetrahydrocannabinol (Delta-8 THC), an isomer of Delta-9 THC has recently surged. While Delta-8 THC has psychoactive effects and is potentially harmful, little is known about its use. We examined sociodemographic characteristics, motivations, and consumption patterns of Delta-8 THC in US adult cannabis users. METHODS: Cannabis-using adult online survey participants (N = 4,348) provided information on Delta-8 use, and other characteristics. We assessed frequencies of sociodemographics, patterns, and correlates of Delta-8 THC use. Regression models estimated adjusted odds ratios (aOR) and 95% confidence intervals (CI) of associations between past 30-day Delta-8 THC use, sociodemographic and other characteristics. FINDINGS: Among past 30-day cannabis users, 16.7% reported Delta-8 THC use. The most common consumption method was vaping concentrated formulations of Delta-8 THC (41.2%). Primary motivations for use were its legal status and perceived therapeutic benefits. Males were more likely than females to report Delta-8 THC use (aOR = 1.4, 95% CI 1.2, 1.7). Respondents residing in states with restrictions on sales of Delta-8 THC products had lower odds of Delta-8 THC use (aOR = 0.7, 95% CI 0.57, 0.86). CONCLUSIONS: Findings provide initial insight into the current state of Delta-8 THC use in the US. Given the limited knowledge on use of Delta-8 THC, and considering emergence of reports indicating its harmful effects, there is urgent need for nationally representative data to investigate correlates of Delta-8 THC use (e.g., effectiveness of state-specific restrictions on its products). Such information can guide public-health policy around Delta-8 THC use.

Characterizing cannabis use reduction and change in functioning during treatment: Initial steps on the path to new clinical endpoints.

Reduction-based cannabis use endpoints are needed to better evaluate treatments for cannabis use disorder (CUD). This exploratory, secondary analysis aimed to characterize cannabis frequency and quantity reduction patterns and corresponding changes in psychosocial functioning during treatment. We analyzed 16 weeks (4 prerandomization, 12 postrandomization) of data (n = 302) from both arms of a randomized clinical trial assessing pharmacotherapy for CUD. Cannabis consumption pattern classes were extracted with latent profile modeling using self-reported (a) past-week days used (i.e., frequency) and (b) past-week average grams used per using day (i.e., quantity). Changes in mean Marijuana Problem Scale (MPS) and Hospital Anxiety and Depression Scale (HADS) scores were examined among classes. Urine cannabinoid levels were examined in relation to self-reported consumption as a validity check. Two-, three-, four-, and five-class solutions each provided potentially useful conceptualizations of associations between frequency and quantity. Regardless of solution, reductions in MPS scores varied in magnitude across classes and closely tracked class-specific reductions in consumption (e.g., larger MPS reduction corresponded to larger frequency/quantity reductions). Changes in HADS scores were less pronounced and less consistent with consumption patterns. Urine cannabinoid levels closely matched class-specific self-reported consumption frequency. Findings illustrate that frequency and quantity can be used in tandem within mixture model frameworks to summarize heterogeneous cannabis use reduction patterns that may correspond to improved psychosocial functioning. Going forward, similar analytic strategies applied to alternative metrics of cannabis consumption may facilitate construction of useful reduction-based clinical endpoints. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Assessing the feasibility, usability and acceptability of the MySafeRx platform among individuals in outpatient buprenorphine treatment: Lessons learned from a pilot randomized controlled trial.

Background: Increasing buprenorphine/naloxone (B/N) access for opioid use disorder (OUD) is essential yet ensuring adherence and preventing diversion remains challenging. This study examines the feasibility, usability, and acceptability of MySafeRx, a mobile platform integrating motivational coaching, adherence monitoring, and electronic dispensing during office-based B/N treatment. Methods: In this multi-site randomized controlled trial, MySafeRx provided coaching and supervised self-administration of B/N by mobile recovery coaches (MRCs) via videoconference. Referred adults (ages 18-65) with OUD were randomized to 1) 42-days of adjunctive MySafeRx treatment (n = 13) or 2) a standard care control group (n = 14). Results: The randomized sample was 63% female and 100% White. Twelve of 13 MySafeRx participants completed at least one MRC session. The mean system usability score reported by MySafeRx participants was 78.4 (n = 12). Participants indicated they would recommend MySafeRx to a friend (mean= 4.1 of 5), and that the dispenser (4.1 of 5) and videoconferencing (4.2 of 5) were easy to use. The MRC component had the highest acceptability (4.4 of 5). MRCs observed B/N self-administration for an average of 64.3% of the required study days (men: 68.9%; women: 57.9%). On average, men (n = 4) met with MRCs on 32±14 days versus 47±6 days for women (n = 8). Exploratory analyses did not show significant differences between intervention and control groups. Conclusions: Despite the small sample, this study supports usability and acceptability of MySafeRx. Increased adherence monitoring, even with remote coaching had limited appeal, which impacted feasibility due to slow recruitment, especially as community prescribing with relaxed monitoring requirements became more widespread.

Use patterns, beliefs, experiences, and behavioral economic demand of indica and sativa cannabis: A cross-sectional survey of cannabis users.

Cannabis products available for retail purchase are often marketed based on purported plant species (e.g., "indica" or "sativa"). The cannabis industry frequently claims that indica versus sativa cannabis elicits unique effects and/or is useful for different therapeutic indications. Few studies have evaluated use patterns, beliefs, subjective experiences, and situations in which individuals use indica versus sativa. A convenience sample of cannabis users (n = 179) was surveyed via Amazon Mechanical Turk (mTurk). Participants were asked about their prior use of, subjective experiences with, and opinions on indica versus sativa cannabis and completed hypothetical purchasing tasks for both cannabis subtypes. Participants reported a greater preference to use indica in the evening and sativa in the morning and afternoon. Participants were more likely to perceive feeling "sleepy/tired" or "relaxed" after using indica and "alert," "energized," and "motivated" after using sativa. Respondents were more likely to endorse wanting to use indica if they were going to sleep soon but more likely to use sativa at a party. Hypothetical purchasing patterns (i.e., grams of cannabis purchased as a function of escalating price) did not differ between indica and sativa, suggesting that demand was similar. Taken together, cannabis users retrospectively report feeling different effects from indica and sativa; however, demand generally did not differ between cannabis subtypes, suggesting situational factors could influence whether someone uses indica or sativa. Placebo-controlled, blinded studies are needed to characterize the pharmacodynamics and chemical composition of indica and sativa cannabis and to determine whether user expectancies contribute to differences in perceived indica/sativa effects. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Evaluating cannabis use risk reduction as an alternative clinical outcome for cannabis use disorder.

OBJECTIVE: Abstinence is rarely achieved in clinical trials for cannabis use disorder (CUD). Cannabis reduction is associated with functional improvement, but reduction endpoints have not been established, indicating a need to identify and validate clinically meaningful reduction endpoints for assessing treatment efficacy. METHOD: Data from a 12-week double-blind randomized placebo-controlled medication trial for cannabis cessation (NCT01675661) were analyzed. Participants (N = 225) were treatment-seeking adults, M = 30.6 (8.9) years old, 70.2% male, and 42.2% Non-White, with CUD who completed 12 weeks of treatment. Frequency (days of use per week) and quantity (grams per using day) were used to define high-, medium-, and low-risk levels. Anxiety and depression were assessed using the Hospital Anxiety and Depression Scale and cannabis-related problems were assessed using the Marijuana Problems Scale. General linear models for repeated measures tested associations between the magnitude of risk reduction and functional outcomes from baseline (BL) to end-of-treatment (EOT). RESULTS: Cannabis risk levels were sensitive to reductions in use from BL to EOT for frequency- (χ² = 19.35, p = .004) and quantity-based (χ² = 52.06, p < .001) metrics. Magnitude reduction in frequency-based risk level was associated with magnitude decrease in depression (F = 2.76, p = .043, ηp² = .04), anxiety (F = 3.70, p = .013, ηp² = .05), and cannabis-related problems (F = 8.95, p < .001, ηp² = .12). Magnitude reduction in quantity-based risk level was associated with magnitude decrease in anxiety (F = 3.02, p = .031, ηp² = .04) and cannabis-related problems (F = 3.24, p = .023, ηp² = .05). CONCLUSIONS: Cannabis use risk levels, as operationalized in this study, captured reductions in use during a clinical trial. Risk level reduction was associated with functional improvement suggesting that identifying risk levels and measuring the change in levels over time may be a viable and clinically meaningful endpoint for determining treatment efficacy. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Cannabis Practices Among a Gender-Diverse Sample of Young Adults.

Background: Gender is an important factor in understanding cannabis patterns, yet few studies have explored cannabis patterns among gender minority (GM) individuals - particularly among high-risk age groups including young adults. The evolving cannabis market is reshaping typical patterns of cannabis use in the U.S. The combination of these factors warrants increased efforts to examine cannabis practices in gender-diverse samples. Methods: Online survey participants between 18-34 years (N=2377) from the U.S. provided information on cannabis practices from May - July 2021. Gender differences across several cannabis outcomes (onset, methods of consumption, product potency, frequency, and quantity) were assessed. Bivariate tests and multiple regression models examined associations between gender (cisgender men: n=1020; cisgender women: n=1178; and GM: n=179) and cannabis outcomes adjusting for sociodemographic characteristics. Results: In regression models adjusted for sociodemographic characteristics, GM identity was associated with later age of onset and lower likelihood of daily use compared to cisgender men and women. Identifying as GM or cisgender woman was associated with fewer lifetime methods of consumption and lower plant and concentrate potency usage. Conclusions: Findings provide initial insights into potential gender differences in cannabis practices from a sample of heavy cannabis users. GM young adults report use patterns indicative of lower risk compared to cisgender men and women in our sample. Future investigations of gender differences in cannabis use that explore specific gender minority categories and that include alternative sampling strategies are needed to better understand differential risks associated with gender.