A meta-analytic investigation of the associations between cannabis use and cannabis-related negative consequences

Psychometric properties of the Spanish simultaneous alcohol and cannabis motives measure (S-SMM) and its short form (S-SMM-SF) among young adults

Background: Simultaneous Alcohol and Cannabis (SAC) use is associated with greater negative consequences than individual use. Motives to use are robust predictors of alcohol and cannabis consumption, both separately and simultaneously. Despite the recent development of both a SAC motives measure and its short form, no Spanish adaptation is currently available.Objectives: To provide a Spanish adaptation of the full-length and short-form versions of the simultaneous alcohol and cannabis motives measure and to examine its psychometric properties in a sample of young adult SAC users.Methods: A targeted sampling procedure was used to recruit 612 young cannabis users, of whom 479 reported SAC use (18-25 years old [M = 21.01, SD = 2.14]; 36% female). Following adaptation and translation, participants completed the scale, along with measures of frequency of alcohol, cannabis, and simultaneous use, cannabis motives, and alcohol- and cannabis-related negative consequences.Results: Confirmatory factor analyses showed a four-factor structure (conformity, positive effects, calm/coping, and social). Moreover, the results indicated acceptable internal consistency (.70-.88), providing evidence of convergent, discriminant, and predictive validity for most dimensions.Conclusions: The results suggest that both versions of the scale are valuable tools for assessing motives for SAC consumption among young adults. These scales could aid in investigating motives for SAC use and informing interventions to mitigate associated harms.

Knowledge of Cannabinoid Content Among People Living with HIV Who Use Cannabis: a Daily Diary Study

BACKGROUND

Many people living with HIV (PLWH) use cannabis for medicinal reasons. Patients' knowledge of the tetrahydrocannabinol (THC) and cannabidiol (CBD) concentrations of the cannabis products they use may be important in helping patients achieve symptom relief while guarding against potential risks of cannabis use. However, no studies have examined cannabinoid concentration knowledge among PLWH.

METHOD

PLWH (N = 29; 76% men, mean age 47 years) reporting cannabis use for both medicinal and nonmedicinal reasons completed daily surveys over 14 days assessing cannabis products used, knowledge of cannabinoid concentrations of cannabis products used, cannabis use motives (medicinal, nonmedicinal, both), and positive and negative cannabis-related consequences. Across the 361 cannabis use days captured on the daily surveys, at least some knowledge of cannabinoid concentrations was reported on an average of 43.1% (for THC) and 26.6% (for CBD) of the days.

RESULTS

Generalized linear mixed models revealed that participants were more likely to report knowing THC and CBD concentrations on days when they used non-flower forms of cannabis relative to days when they used cannabis flower only. Participants who used cannabis for medicinal reasons on a greater proportion of days had greater knowledge of cannabinoid concentration overall across days. Further, greater overall knowledge of cannabinoid concentrations was associated with fewer reported negative cannabis-related consequences.

CONCLUSIONS

Findings suggest that among PLWH, knowledge of cannabinoid concentrations may be higher when using non-flower cannabis products and among those reporting primarily medicinal cannabis use. Moreover, knowledge of cannabinoid concentration may protect against negative cannabis-related consequences in this population.

The Prevalence and Correlates of Cannabis-Related Harms in a Nationally Representative Sample of Norwegian High School Students

PURPOSE

Although adolescents are at increased risk for a wide spectrum of cannabis-related harms, comprehensive harm measures are seldom employed in studies of young people who use cannabis. This study examined the type and prevalence of cannabis-related harms and their associations with various cannabis use indicators in a sample of adolescent who use cannabis.

METHODS

A nationally representative sample of Norwegian high school students (N = 3,490, age 17-19 years, 48% male) reported whether they used cannabis, and if so, age of first initiation, use frequency, simultaneous use with alcohol, and whether they experienced any of the 18 possible cannabis-related harms. Associations between these harms and cannabis use indicators were analyzed using regression models while accounting for other known sociodemographic, temperamental, and substance use risks.

RESULTS

Among respondents who reported lifetime cannabis use (20%), 65% reported having experienced at least one cannabis-related harm (M = 4.7 ± 4.8). Although "Feelings of shame" (44%) and "Adverse psychoactive effects" (42%) were most frequently reported, harmed relationships (21%), unprotected/unwanted sex (17%), and school troubles (17%) were also prevalent. Early cannabis use initiation (Incidence rate ratio = 1.564, p < .01) and simultaneous use with alcohol (Incidence rate ratio = 1.385, p < .01), but not frequency of use, were associated with greater number of experienced harms.

DISCUSSION

By examining a wide range of diverse harms, our results underscore the need for a more nuanced understanding of negative consequences of cannabis use during sensitive periods of adolescent development. Prevention efforts targeting early initiation and simultaneous use of cannabis and alcohol may prove particularly useful in preventing cannabis-related harm among adolescents.

Development and Validation of the Positive Outcomes of Cannabis Use Scale (POCUS) Among Predominantly White Adults in the United States

Operant conditioning and social learning theories suggest that positive cannabis use-related outcomes are a primary contributor to maintained use and risk for dependence. However, currently there does not exist a reliable, validated measure of positive cannabis-related outcomes. This study sought to develop and psychometrically evaluate the Positive Outcomes of Cannabis Use Scale (POCUS). We collected three samples, college students (N = 883), community adults (N = 214), and college students (N = 615), of predominantly White adults in the United States who completed an online survey. Exploratory and confirmatory factor analyses evaluated scale structure and identified four factors: social enhancement, mood enhancement, cognitive enhancement, and sexual enhancement. Positive outcomes were positively associated with recent use, controlling for expectancies and negative outcomes. Positive outcomes were also differentiated from positive expectancies and more influential in predicting typical use frequency. Findings indicate that the POCUS is psychometrically sound and clinically useful for measuring positive cannabis use-related outcomes among predominantly White adults in the United States.

Mental Health and Dispositional Predictors of Simultaneous Versus Concurrent Cannabis and Alcohol Use in a Canadian Context

Objective

Cannabis has become more available in Canada since its legalization in 2018. Many individuals who use cannabis also use alcohol (co-use), which can be used either at the same time such that their effects overlap (simultaneous use) or at different times (concurrent use). Though studies have identified predictors of co-use relative to single-substance use, less is known about the predictors of specific types of co-use. The present study examined the mental health and dispositional predictors of simultaneous relative to concurrent use of the two legal substances (cannabis and alcohol) among adults in Canada.

Method

Canadian adults reporting past-year use of both cannabis and alcohol (N = 1,761) were recruited from Academic Prolific and six Canadian universities. Participants completed online self-report measures of demographic characteristics, cannabis and alcohol co-use, mental health symptoms, impulsivity, and personality traits.

Results

Binary logistic regression analyses revealed that when independent variables were each examined individually, greater severity of depression, anxiety, PTSD, and ADHD symptoms; greater negative urgency and lack of premeditation; and greater impulsivity each predicted an increased likelihood of reporting past-year simultaneous use relative to concurrent use. When independent variables were grouped into three separate models (mental health, impulsivity, and personality variables), greater anxiety symptom severity, ADHD symptom severity, negative urgency, and sensation seeking were each uniquely associated with an increased likelihood of simultaneous relative to concurrent use.

Conclusions

Individuals with elevated anxiety and ADHD symptoms, as well as negative urgency and sensation seeking, may be more inclined to engage in simultaneous use to self-medicate and achieve greater symptom reduction. Future studies may examine the directionality of these relations and motives (e.g., coping) that may differentiate simultaneous and concurrent use.

The Role of Savoring in Young Adult Cannabis Use and Associated Consequences: A Replication Study

Young adults exhibit high rates of cannabis use and are at heightened risk of experiencing negative cannabis-associated consequences. The purpose of the present study was to replicate and extend to prior work on savoring, the ability to experience positive experiences/emotions, and cannabis use frequency on cannabis-associated consequences. Young adults (18-25 years old, N = 122, 36.1% women) who reported weekly cannabis use completed self-report surveys. Savoring was significantly associated with cannabis use frequency (r = .28, p < .01) and cannabis-associated consequences (r = -.20, p < .05). Cannabis use frequency was significantly and negatively associated with cannabis-associated consequences (r = -.24, p < .01). However, the interaction between cannabis use frequency and savoring on cannabis-associated consequences was not significant (b = 0.0004, p = .91, 95% CI [-0.007, 0.008]). When the interaction was removed, neither cannabis use frequency (b = -0.14, p = .08, CI [-0.29, -0.02]) nor savoring (b = -0.05, p = .16, CI [-0.13, 0.02]) were associated with cannabis-associated consequences. Results did not replicate previous findings regarding the moderating role of savoring in the relationship between cannabis use frequency and cannabis-associated consequences. Future research may explore why findings did not replicate by using more fine-grained assessment methods and comprehensive measures of cannabis use.

Identifying brief intervention factors to improve cannabis related outcomes in adolescents and young adults: A systematic review of sample characteristics and intervention components

INTRODUCTION

Prior systematic and meta-analytic reviews observed mixed evidence for the efficacy of cannabis brief interventions (BIs). Inconsistent support for cannabis BIs may be the result of intersecting methodological factors, including intervention structure and content, participant eligibility criteria, and outcome assessment measures. The current systematic review of cannabis BI studies narratively synthesizes these data to guide intervention development decision-making in future cannabis BI studies (PROSPERO CRD42022285990).

METHODS

We searched PubMed/MEDLINE, PsycINFO, and CINAHL databases in January 2022 and again in June 2023 to capture newly published studies. Studies were included if they were a randomized trial, enrolled adolescents (13-17) and/or young adults (18-30), specified cannabis use and/or problems inclusion criteria, and evaluated a cannabis BI (defined as ≤4 sessions). We extracted and synthesized data on intervention characteristics (e.g., components, length/duration, modality), cannabis inclusion criteria and recruitment setting, baseline cannabis use descriptives and treatment-seeking status, and outcome assessment measures to discern if/how they may intersect to determine intervention efficacy. The Cochrane Risk of Bias Tool 2 assessed study quality.

RESULTS

Our search resulted in a final sample of 25 study records including 4094 participants. Recruitment setting seemed to provide an influential backdrop for how well inclusion criteria determined baseline cannabis use level, as well as for the type/length of the BI evaluated. Motivational interviewing (MI) and personalized feedback (PF) were the most frequently used BI components overall; however, some differences were observed in the proportion of BIs with reported intervention effects using MI vs. PF. Frequency of use days was the most commonly used outcome measure, although this may not be the most sensitive measure for assessing cannabis BI efficacy.

CONCLUSIONS

Our systematic review indicates that cannabis BI studies require greater precision in their design, giving special attention to matching the content and structure of the BI to the needs of the target population and selecting outcomes commensurate to the goals of the BI and the target population to more accurately reflect the efficacy of the BI. However, consistent with prior reviews, all included studies demonstrated at least some concerns for risk of bias, and most were at high risk.

Exploring perceptions of self-stigma of substance use and current alcohol and marijuana use patterns among college students

BACKGROUND

While research has examined the effect of stigma from others towards individuals with substance use disorders, few studies have examined the relationship between perceived self-stigma and engagement in substance use more broadly, especially among non-clinical samples.

AIMS

The present study examined the relationships between perceptions of self-stigma if one were to develop a substance use disorder, consisting of negative self-esteem and negative self-efficacy, and alcohol or marijuana use behaviors and outcomes.

METHOD

Participants (n = 2,243; 71.5% female) were college students within the U.S. recruited to participate in an online survey on substance use with a special focus on alcohol and marijuana.

RESULTS

Results indicated no significant differences in stigma scores across individuals with different lifetime alcohol and marijuana use. Stigma ratings did differ between individuals with different profiles of last 30-day alcohol and marijuana use where, generally, individuals with lifetime use but no use in the last 30-day reported higher levels of self-stigma. Correlation analyses indicated that perceived impact of substance use disorder on sense of self-efficacy and self-esteem related negatively to nearly all observed factors of alcohol and marijuana use.

CONCLUSIONS

Though self-stigma, and stigma more broadly, has been shown to have negative implications for people with substance use disorders, the present study suggests that for non-clinical populations there may be some protective association between perceived self-stigma and alcohol or marijuana use engagement. This is not to say that self-stigma is a positive clinical intervention. Rather, we interpret these findings to indicate that negative perceptions of substance use disorder on the sense of self may be associated with distinct alcohol and marijuana use behaviors among young adults.

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.

What is the duration of untreated psychosis worldwide? - A meta-analysis of pooled mean and median time and regional trends and other correlates across 369 studies

Duration of untreated psychosis (DUP) has been associated with poor mental health outcomes. We aimed to meta-analytically estimate the mean and median DUP worldwide, evaluating also the influence of several moderating factors. This PRISMA/MOOSE-compliant meta-analysis searched for non-overlapping individual studies from inception until 9/12/2022, reporting mean ± s.d. or median DUP in patients with first episode psychosis (FEP), without language restrictions. We conducted random-effect meta-analyses, stratified analyses, heterogeneity analyses, meta-regression analyses, and quality assessment (PROSPERO:CRD42020163640). From 12 461 citations, 369 studies were included. The mean DUP was 42.6 weeks (95% confidence interval (CI) 40.6-44.6, k = 283, n = 41 320), varying significantly across continents (p < 0.001). DUP was (in descending order) 70.0 weeks (95% CI 51.6-88.4, k = 11, n = 1508) in Africa; 48.8 weeks (95% CI 43.8-53.9, k = 73, n = 12 223) in Asia; 48.7 weeks (95% CI 43.0-54.4, k = 36, n = 5838) in North America; 38.6 weeks (95% CI 36.0-41.3, k = 145, n = 19 389) in Europe; 34.9 weeks (95% CI 23.0-46.9, k = 11, n = 1159) in South America and 28.0 weeks (95% CI 20.9-35.0, k = 6, n = 1203) in Australasia. There were differences depending on the income of countries: DUP was 48.4 weeks (95% CI 43.0-48.4, k = 58, n = 5635) in middle-low income countries and 41.2 weeks (95% CI 39.0-43.4, k = 222, n = 35 685) in high income countries. Longer DUP was significantly associated with older age (β = 0.836, p < 0.001), older publication year (β = 0.404, p = 0.038) and higher proportion of non-White FEP patients (β = 0.232, p < 0.001). Median DUP was 14 weeks (Interquartile range = 8.8-28.0, k = 206, n = 37 215). In conclusion, DUP is high throughout the world, with marked variation. Efforts to identify and intervene sooner in patients with FEP, and to promote global mental health and access to early intervention services (EIS) are critical, especially in developing countries.

The Interaction of Cannabis Consumption with Heavy Episodic Drinking and Alcohol-induced Blackouts in Relation to Cannabis Use Consequences Among Recent Undergraduate College Cannabis Users

Introduction

Risky alcohol use patterns, characterized by heavy episodic drinking (HED) and alcohol-induced blackout, are prevalent in college students. However, it is not clear if experiencing HED and blackout among college-attending cannabis users heightens risk for adverse cannabis use consequences. The purpose of this study was to examine whether heavy episodic drinking and blackout episodes moderate the relationship between cannabis consumption and cannabis use consequences among college students.

Methods

Undergraduate college students (n = 4331) were recruited from a Midwest University in 2021. This analysis used a subset of data from past 6-month cannabis users (n= 772; 17.8% of the full sample). Among cannabis users, 64.5% identified as female and 87.8% were White with an average age of 19.99 (SD=2.88). A linear regression was conducted with two two-way interactions of cannabis consumption and HED frequency as well as cannabis consumption and alcohol-induced blackout episodes.

Results

Results showed a statistically significant positive association between cannabis consumption and cannabis use consequences (B=0.73, p<.001), adjusting for the other variables in the model. Blackout, but not HED, was a significant moderator (B=0.19, p=.003).

Discussion

The findings of this study indicate that blackout experiences amplify the relationship between cannabis use and cannabis-related consequences among college students. This underscores that blackouts not only signal a risk of problematic drinking but also exacerbate the association between cannabis use and its negative consequences.

Conclusion

Findings may inform college campus interventions targeting cannabis and alcohol concurrent-users who experience alcohol-induced blackouts to reduce their additional risk for cannabis-related consequences.

Chronic Pain and Cannabis Use Frequency, Intensity, and Severity in Young Adults

BACKGROUND

Cannabis use is common among young adults and is associated with many physical and mental health problems. Persons with chronic pain may be particularly susceptible to using cannabis at high rates, including for analgesic purposes, thus exposing themselves to greater risk of cannabis-related problems. However, little research has examined connections between chronic pain and cannabis use in the young adult population.

MATERIALS AND METHODS

Participants were young adults from the community who were recruited for a larger health behaviors study. The present sample included 403 persons from this larger sample who reported cannabis use in the past 90 days. Participants completed measures of demographic characteristics, cannabis and alcohol use, and chronic pain.

RESULTS

This young adult sample reported using cannabis on an average of 47.1 of the past 90 days, and 20.1% reported chronic pain. Chronic pain was associated with greater cannabis use frequency (IRR = 1.35, 95%CI 1.15; 1.57, p < 0.001), intensity (IRR = 1.61, 95%CI 1.18; 2.21, p = 0.003), and negative consequences (IRR = 1.23, 95%CI 1.02; 1.48, p < 0.030).

DISCUSSION

In this sample of young adults who use cannabis, chronic pain was significantly associated with frequent, intense cannabis use, as well as more cannabis-related negative consequences. These findings suggest that chronic pain may be a marker for a particularly high-risk pattern of cannabis use in this age group, thus identifying an especially vulnerable subset of young adults who may require heightened research and clinical attention.

Evaluation of the Daily Sessions, Frequency, Age of Onset, and Quantity of Cannabis Use Questionnaire and its Relations to Cannabis-Related Problems

Cannabis use and the prevalence of cannabis use disorder (CUD) among emerging adults are on the rise. Several indicators of cannabis use (e.g., quantity, frequency) as they relate to negative outcomes have been posited in the extant literature. Despite research examining links between indicators and cannabis outcomes, few assessments of cannabis use indicators exist. The Daily Sessions, Frequency, Age of Onset, and Quantity of Cannabis Use Inventory (DFAQ-CU) was developed to assess cannabis use across a range of factors. However, the factor structure of the DFAQ-CU has not been replicated. Further, the DFAQ-CU was modeled using reflective strategies despite formative strategies being conceptually appropriate. The present study utilized principal components analyses (PCA) and principal axis factoring (PAF) to evaluate the structure of the DFAQ-CU. PCA yielded a four-component solution; PAF resulted in a five-factor solution. Linear regression found significant relations between PCA components and PAF factors with CUD symptoms and cannabis-related problems; however, effect sizes were larger for the PAF suggesting possible misdisattenuation. The PCA components demonstrated evidence of discriminant and convergent validity with measures of cannabis and alcohol behavior. The study informs research and clinical work through the refinement of cannabis use assessment and enhancing our understanding of the importance of model selection.

Incremental Predictive Validity of the Dualistic Model of Passion for Cannabis Use Among College Undergraduate Students With and Without a Cannabis Use Disorder

Introduction

We examined whether the Dualistic Model of Passion (DMP; i.e., obsessive passion [OP] and harmonious passion [HP]) for cannabis use was prospectively associated with cannabis use and use-related outcomes, and with academic performance, relationship attachment style, and social connectedness among college students. We also explored whether the DMP was associated with outcomes when included in a model using established constructs (e.g., coping motives, refusal self-efficacy, cannabis use disorder [CUD] symptoms) as predictors of cannabis use and outcomes.

Methods

Using a longitudinal cohort design (baseline, 5-month, 10-month [timepoints chosen to better correspond to 9-month academic year]), 513 undergraduate students from two universities who reported using cannabis at least four times in the past month completed a baseline survey (308 meeting criteria for CUD). We used Generalized Estimating Equations to assess longitudinal associations between OP/HP and cannabis use and academic/social outcomes at 5-month and 10-month.

Results

At baseline, participants were young adults (Mean age = 20.57, SD = 2.51), 78.8% non-Hispanic, 83.8% White, 55.0% female, and 72.3% heterosexual. Greater HP was not associated with greater past month cannabis use or cannabis-related problems. Greater OP was associated with greater past month cannabis use and more cannabis-related problems. There were no significant passion by time interactions. Greater HP was associated with more anxious attachment. OP was associated with less social connection.

Conclusion

This research suggests that the DMP provides novel information about factors associated with cannabis use and use-related consequences, which can aid in our understanding of cannabis use, misuse, and CUD among college students.

Predicting quantity of cannabis smoked in daily life: An exploratory study using machine learning

BACKGROUND

Cannabis use is prevalent in the United States and is associated with a host of negative consequences. Importantly, a robust indicator of negative consequences is the amount of cannabis consumed.

METHODS

Data were obtained from fifty-two adult, regular cannabis flower users (3+ times per week) recruited from the community; participants completed multiple ecological momentary assessment (EMA) surveys each day for 14 days. In this exploratory study, we used various machine learning algorithms to build models to predict the amount of cannabis smoked since participants' last report including forty-three EMA measures of mood, impulsivity, pain, alcohol use, cigarette use, craving, cannabis potency, cannabis use motivation, subjective effects of cannabis, social context, and location in daily life.

RESULTS

Our best-fitting model (Gradient Boosted Trees; 71.15% accuracy, 72.46% precision) found that affects, subjective effects of cannabis, and cannabis use motives were among the best predictors of cannabis use amount in daily life. The social context of being with others, and particularly with a partner or friend, was moderately weighted in the final prediction model, but contextual items reflecting location were not strongly weighted in the final prediction model, the one exception being not at work.

CONCLUSIONS

Machine learning approaches can help identify additional environmental and psychological phenomena that may be clinically-relevant to cannabis use.

A Scoping Review of Risk and Protective Factors for Negative Cannabis Use Consequences

Objective

Numerous reviews have examined risk and protective factors for alcohol-related negative consequences, but no equivalent review of risk and protective factors exists for cannabis-related negative consequences (CRNCs)-a gap filled by the present study. This scoping review examined survey-based research of risk and protective factors for CRNCs such as neglecting responsibilities, blacking out, or needing more cannabis.

Methods

Three databases (PubMed, PsycINFO, and Google Scholar) were searched for peer-reviewed manuscripts published between January 1, 1990, and December 31, 2021. A qualitative synthesis was performed using the matrix method and the results were organized using the socioecological model as a framework.

Results

Eighty-three studies were included in the review. There was considerable variation in measures and operationalizations of CRNCs across studies. Risk factors were identified in the intrapersonal (depression, social anxiety, PTSD, impulsivity, sensation seeking, motives, expectancies), interpersonal/community (trauma, victimization, family and peer substance use, social norms), and social/policy (education, employment, community attachment, legalization, availability of substances) domains of influence. Protective behavioral strategies were a robust protective factor for CRNCs. Males consistently reported more CRNCs than females, but there were no differences observed across race.

Conclusions

Future research should identify person- and product-specific patterns of CRNCs to refine theoretical models of cannabis misuse and addiction. Public health interventions to reduce the risk of negative consequences from cannabis should consider utilizing multilevel interventions to attenuate the cumulative risk from a combination of psychological, contextual, and social influences.

Loss-of-Control-Eating Mediates the Relationship between Cannabis-Related Problems and Eating Pathology

The prevalence of eating pathology among college students has increased significantly in recent years. This coincides with increases in the use of cannabis, both nationally, but also among college students. Problematic cannabis use has been linked to eating pathology in prior research. Research also shows that cannabis may affect appetitive drives linked to food consumption. The current study tested the hypothesis that the association between problem cannabis use and eating pathology was mediated by greater loss of control eating. Cross-sectional data were collected from a sample of 805 college student cannabis users at a large Southeastern university in the U.S. The sample were primarily Caucasian (76%) and female (65.22%) with an average age of 20.15 (SD = 3.91). Participants completed surveys assessing eating outcomes (loss of control eating and eating pathology), cannabis use, and cannabis-related problems. The analysis used an observed variable path model. After controlling for cannabis use, cannabis-related problems were indirectly linked to eating pathology via loss of control eating (B = 0.109, SE = 0.025, p < .001), supporting the primary hypothesis. The direct relationship between cannabis-related problems and eating pathology was fully accounted for (B = 0.010, SE = 0.028, p = .724) by the indirect effect of loss of control eating. These data suggest that the association between problematic forms of cannabis use and eating pathology may be due to the association between cannabis problems and loss of control eating. While this may be due to changes in appetite and food evaluation as a function of more problematic use patterns, it may also be that individuals with problematic cannabis use have more problematic eating patterns due to deficits in adaptive coping strategies. Future research should seek to parse out these different potential explanations.

Early Birds and Night Owls: Distinguishing Profiles of Cannabis Use Habits by Use Times with Latent Class Analysis

Background

Understanding, predicting, and reducing the harms associated with cannabis use is an important field of study. Timing (i.e., hour of day and day of week) of substance use is an established risk factor of severity of dependence. However, there has been little attention paid to morning use of cannabis and its associations with negative consequences.

Objectives

The goal of the present study was to examine whether distinct classifications of cannabis use habits exist based on timing, and whether these classifications differ on cannabis use indicators, motives for using cannabis, use of protective behavioral strategies, and cannabis-related negative outcomes.

Methods

Latent class analyses were conducted on four independent samples of college student cannabis users (Project MOST 1, N=2,056; Project MOST 2, N=1846; Project PSST, N=1,971; Project CABS, N=1,122).

Results

Results determined that a 5-class solution best fit the data within each independent sample consisting of the classes: (1) "Daily-morning use",(2) "Daily-non-morning use", (3) "Weekend-morning use", (4) "Weekend-night use", and (5) "Weekend-evening use." Classes endorsing daily and/or morning use reported greater use, negative consequences and motives, while those endorsing weekend and/or non-morning use reported the most adaptive outcomes (i.e., reduced frequency/quantity of use, fewer consequences experienced, and fewer cannabis use disorder symptoms endorsed).

Conclusions

Recreational daily use as well as morning use may be associated with greater negative consequences, and there is evidence that most college students who use cannabis do avoid these types of use. The results of the present study offer evidence that timing of cannabis use may be a pertinent factor in determining harms associated with use.

A psychometric evaluation of the Marijuana Problems Index among college students: Confirmatory factor analysis and measurement invariance by gender

Although the Marijuana Problems Index (MPI) is widely used in studies with college student samples to reflect a unidimensional measure of cannabis-related problems, no studies have assessed the psychometric properties of the MPI in a college student population. The present study sought to resolve this gap in a sample of 879 college students reporting past-year cannabis use. Confirmatory factor analyses were used to test the factor structure of the unidimensional 23- and 18-item MPI and measurement invariance across gender. Bivariate correlations between the final factors, cannabis use history/frequency, and other substance use outcomes were used to examine concurrent and discriminant validities (i.e., vs. noncannabis outcomes). The 18-item (but not the 23-item) MPI demonstrated good model fit, measurement invariance across gender, adequate internal reliability, as well as concurrent and discriminant validities. Results support the use of the 18-item MPI over the 23-item MPI for conceptualizing problematic cannabis use, including the testing of gender-specific differences, among college students. Findings also reinforce the importance of evaluating the psychometric properties of widely used measures across samples. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Using Decision Trees to Identify Salient Predictors of Cannabis-Related Outcomes

Cannabis use continues to escalate among emerging adults and college attendance may be a risk factor for use. Severe cases of cannabis use can escalate to a cannabis use disorder, which is associated with worse psychosocial functioning. Predictors of cannabis use consequences and cannabis use disorder symptom severity have been identified; however, they typically employ a narrow set of predictors and rely on linear models. Machine learning is well suited for exploratory data analyses of high-dimensional data. This study applied decision tree learning to identify predictors of cannabis user status, negative cannabis-related consequences, and cannabis use disorder symptoms. Undergraduate college students (N = 7000) were recruited from nine universities in nine states across the U.S. Among the 7 trees, 24 splits created by 15 distinct predictors were identified. Consistent with prior research, one's beliefs about cannabis were strong predictors of user status. Negative reinforcement cannabis use motives were the most consistent predictors of cannabis use disorder symptoms, and past month cannabis use was the most consistent predictor of probable cannabis use disorder. Typical frequency of cannabis use was the only predictor of negative cannabis-related consequences. Our results demonstrate that decision trees are a useful methodological tool for identifying targets for future clinical research.

Classifying risky cannabis involvement in young adults using the Marijuana Consequences Questionnaire (MACQ)

BACKGROUND

Despite the growing prevalence of cannabis use and associated consequences among U.S. young adults, relatively little is known about precisely what level of marijuana involvement may be problematic.

METHOD

With this study we sought to identify empirically-derived cut-scores for the Marijuana Consequences Questionnaire (MACQ) that would distinguish among levels of cannabis risk in a sample of young adult college students (N = 496). We also examined how these levels of cannabis risk corresponded to a variety of indicators of cannabis involvement, including frequency of use, intoxication, other measures of cannabis consequences, and indicators of more severe cannabis involvement (e.g., physiological dependence, loss of control over use, cannabis use disorder).

RESULTS

Receiver operating characteristic analyses yielded cutoffs that distinguished among three distinct levels of risk, "Low", "Moderate", and "High". These empirically derived cut scores showed strong overall differentiation among classifications, with good sensitivity and specificity. MACQ-based risk levels were validated across several indices of cannabis involvement. Cutoffs differed across genders.

CONCLUSIONS

Findings offer a new application for the MACQ, allowing for the identification of those at greatest risk. As such, this measure may be used to facilitate appropriately targeted intervention.

Negative Consequences Related to Nonmedical Prescription Stimulant Use: Development and Psychometric Validation of the Prescription Stimulant Consequences Questionnaire

Nonmedical prescription stimulant use (NPS) is prevalent among undergraduates and associated with several negative consequences. However, no validated measures exist assessing NPS-related consequences. The present study aimed to develop and psychometrically validate a Prescription Stimulant Consequences Questionnaire (PSCQ) for use among college students. A multisite sample of college students endorsing NPS ( N = 715, 68.4% female) completed the PSCQ and measures of NPS frequency and correlates of NPS via an online survey. Exploratory factor analysis supported a 27-item measure, with three factors (i.e., Compulsive Behavior, Risky Behaviors, and Physical and Mental Health) and a total score. Each PSCQ factor and total score demonstrated good internal consistency, and were significantly positively associated with all NPS frequency indicators, route of administration, alcohol-related problems, sleep problems, and depressive/anxiety symptoms. Findings demonstrate support for the psychometric validity and reliability of the newly developed PSCQ, which may demonstrate potential as a screening and outcome measure for intervention.

Measuring the Change in Health-Related Quality of Life in Patients Using Marijuana for Pain Relief

Introduction

Current evidence suggests that cannabinoids are safe with minimal side effects and are effective in managing chronic pain. Data also show that medical marijuana (MM) may improve quality of life (QoL) among patients. However, there are little data showing the health-related QoL (HRQoL) benefit in MM patients using it for pain. The purpose of this study was to determine if there is a relationship between HRQol and MM use in patients using it to relieve pain.

Methods

All pain patients aged 18 years or older enrolled in the Pennsylvania MM program were eligible for inclusion. Recruited subjects completed 4 surveys - at enrollment (baseline) then 2, 4, and 8 weeks post-enrollment. We used the EQ-5D survey tool for measuring HRQoL. The primary outcome measure was the change in the EQ-5D Index Score from survey 2 to survey 4 (6 week difference). Secondary outcomes included self-reported pain and health scores. Data were analyzed using a paired t test and repeated-measures multivariable analysis to control for both gender and length of time between surveys.

Results

1,762 people responded to the screening request, and 1,393 (79%) met screening criteria. Of those, 353 (25.3%) agreed to participate and 51% completed all 4 surveys, for a final sample of 181 with 85 male and 95 female and one nonbinary subject. The average age was 41.21 (SD = 12.9) years, with no difference between genders. The adjusted HRQoL score improved from 0.722 to 0.747 (p = 0.011) from survey 2 to survey 4, as did the self-reported pain and health scores. The EQ-5D subscales revealed no change in mobility or usual activities, significant improvement in anxiety and pain, and a significant worsening in self-care.

Conclusion

The results show a significant improvement in HRQoL among patients using MM for pain. The EQ-5D subscales validated the pain improvement and also showed an improvement in anxiety. However, the decline in the self-care subscale may have tempered the overall improvement in HRQoL, and further research into which aspects of self-care are impacted by MM use in this population is warranted. Overall, there is a positive relationship between MM use and HRQoL in patients using it for pain.

Reactivity to Daily Self-Monitoring of Cannabis Use in Biological Females

Assessment reactivity involves changes to behaviours from self-monitoring those behaviours (Nelson & Hayes, 1981). In the substance use field, reactivity has been identified both as a potential confound in daily diary research (Cohn et al., 2015) and as a possible intervention tool in clinical practice (Cohn et al., 2018). Reactivity to daily self-monitoring of alcohol and tobacco use has been inconsistent in prior research. Reactivity to daily self-monitoring of cannabis use quantity has received far less study. This study involved secondary analyses of data from N = 88 females who self-monitored their cannabis use for 32 days. We examined objective reactivity of cannabis use to daily self-monitoring by assessing changes in daily cannabis use over 32 days. We also explored participants' perceptions of the impact daily self-monitoring had on their cannabis use at study completion (i.e., subjective reactivity). In hurdle models testing objective reactivity, neither probability of cannabis use, nor quantity of cannabis use, changed significantly over the study period. Many respondents (45%) reported no subjective reactivity, though a slight majority (55%) reported some subjective reactivity. Subjective reactivity did not moderate objective reactivity over time; however, higher subjective reactivity was significantly associated with increased variability (interquartile range [IQR]) in cannabis use across the self-monitoring period. Overall, reactivity appears unlikely to confound research utilizing daily diary cannabis measures, and daily self-monitoring of cannabis use may be unlikely to serve as a useful stand-alone intervention for reducing cannabis use in non-treatment-seeking individuals. Potential clinical implications of the novel finding of a link between subjective reactivity and objective cannabis use variability are discussed.

Interactions of protective behavioral strategies and cannabis use motives: An online survey among past-month users

Given the constant high prevalence of cannabis use and cannabis dependence, it is important to determine protective behaviors on the individual level, which buffer the effects of risk factors. Protective Behavioral Strategies for Marijuana (PBSM) have been identified to play an important role for harm reduction in adolescent and young adult users. In the present study, we analyzed if PBSM moderate the effects of use motives (captured by the Marijuana Motives Measure, MMM) on the severity of dependence beyond the effects of age, gender, education and cannabis use frequency. We used confirmatory factor analysis (CFA) to validate the German versions of PBSM and MMM. Data was gathered in an online survey distributed to randomly chosen households in the city of Bern in the German speaking part of Switzerland. The final sample comprised 362 past-month users. Results showed negative correlations between PBSM and cannabis use frequency and severity of dependence. The only motives being correlated with severity of dependence were coping and routine, beyond frequency of use. PBSM significantly moderated the effect only of routine motives on the severity of dependence. However, only a few cases who used PBSM extensively were affected. PBSM appear to be an important factor to reduce harm among past-month users but not among those with dependent use patterns, e.g. coping and routine users. Clinical implications are discussed. The routine factor adds significantly to the MMM and should be implemented and improved in future studies. PBSM as well as the MMM can be used in future studies in German speaking populations.

Calendar Month Variation in Alcohol and Marijuana Use in a Community Sample of Young Adults

OBJECTIVE

Alcohol use among adults varies by season, and drinking among 4-year college students has been linked to holidays and the academic calendar. Little research has assessed calendar-related variation in marijuana use. We examined calendar month variation in alcohol and marijuana use among a sample of young adults that was diverse with respect to college status and educational attainment.

METHOD

Data were drawn from a community sample of 761 individuals (57% female; ages 18-23 at enrollment). Participants were surveyed monthly for 24 consecutive months. Multilevel models accounted for nesting of monthly data within individuals.

RESULTS

All measures of substance use showed evidence of variation by calendar month, with the exception of hours high in months when marijuana was used. Drinks per week and peak number of drinks were relatively elevated in summer months and in October and December; the prevalence of heavy episodic drinking was also elevated in October and December. Attending a 4-year college was associated with more drinking than not being enrolled in a 4-year college, regardless of whether a 4-year degree had been obtained. Students in a 4-year college reported more drinks per week than those not in a 4-year college in September and October, whereas the peak number of drinks converged across educational status in the summer months and in December. Across educational statuses, marijuana use was highest in April and December.

CONCLUSIONS

Findings may guide the targeting and timing of substance use prevention programs by focusing efforts before and during higher risk months.

Parents' Cannabis-Related Attitudes and Emerging Adult Offspring Cannabis Use: Testing the Mediating Effect of Perceived Parental Approval

Background: Contrary to parental alcohol use and expectancies work, little is known about how parent's cannabis use (CU) and expectancies influence offspring CU. This is a notable gap in the literature given increasing acceptability and use of cannabis, especially among emerging adults (EA). Moreover, limited work has tested mechanisms of transmission of risk from these parent factors. This study addresses these gaps by testing prospective associations of parental CU and expectancies with offspring CU and CU problems, and perceived parental approval of offspring CU as a potential mediator. Method: A community sample of 314 EA and caregiver dyads completed three annual assessments (mean age = 19.13). The sample was 54% female and majority White/non-Hispanic (76%). Caregivers reported on their cannabis expectancies and use, and EA reported on their CU, CU-related problems, and perceived parental approval of CU. Results: Longitudinal structural equation modeling supported a mediated pathway such that high parental positive cannabis expectancies were associated with perceived parental approval of CU, which in turn, predicted increases in EA CU and CU problems. Parental negative expectancies had a significant indirect effect but in the opposite direction. Indirect effects were found above and beyond parental CU, which was not associated with offspring CU. Conclusions: This is the first study to test prospective indirect effects of parental cannabis expectancies on offspring CU. Findings suggest parents' attitudes, even in the absence of parental use, confer risk for offspring use by shaping perceived acceptance of CU, suggesting parental expectancies as targets for parent-based CU interventions.

Do marijuana use motives matter? Meta-analytic associations with marijuana use frequency and problems

As laws expanding the accessibility of marijuana proliferate, it is increasingly important to understand how various motivations for use are differentially associated with marijuana use (e.g., frequency, quantity) and problems associated with marijuana use (e.g., reduced productivity, relationship conflict, legal issues). We conducted a meta-analytic review (k = 48, N = 11,274) of the zero-order and partial association between five marijuana use motives (i.e., coping, enhancement, social, conformity, and expansion) and a range of marijuana use outcomes (e.g., use frequency, problematic use). For marijuana use frequency zero-order correlations, we found significant positive correlations for coping, enhancement, social, and expansion, but not conformity. For marijuana use problems zero-order correlations, we found significant positive correlations for all five motives. When adjusting for the other motives, only coping, enhancement, and expansion were significantly positively associated with marijuana use frequency, and conformity was significantly negatively related to marijuana use frequency. For marijuana use problems, only coping and conformity had significant positive correlations. These results show that marijuana use motives are an important part of understanding the frequency of marijuana use and the development of marijuana use problems. These results may have implications for intervention development and public policy.

Negative marijuana-related consequences among college students in five countries: measurement invariance of the Brief Marijuana Consequences Questionnaire

BACKGROUND AND AIMS

The 21-item Brief Marijuana Consequences Questionnaire (B-MACQ) has been shown to be a valid measure to assess negative marijuana-related consequences among US college students. The present study aimed to: (a) examine measurement invariance of the B-MACQ among college student marijuana users in five countries, (b) evaluate latent mean differences on the B-MACQ as a function of sex and country if invariance is met and (c) compare criterion-related validity across different countries and sex.

DESIGN

Instrumental study.

SETTING

Argentina, the Netherlands, Spain, Uruguay and United States.

PARTICIPANTS

A subsample of last-month marijuana users who completed the B-MACQ (n = 1145; 62.9% female).

MEASUREMENTS

The B-MACQ, several dimensions of marijuana use and perceptions of marijuana use.

FINDINGS

Results supported configural and scalar invariance (all ΔCFI/TLI ≤ 0.01; ΔRMSEA ≤ 0.015) of a 20-item B-MACQ across sex and four countries (the Netherlands being the exception). In examining latent mean differences, Spanish students reported a higher number of consequences than US (P < 0.001) and Argentinian students (P = 0.003). In examining criterion-related validity, marijuana use indicators (0.01 < rs < 0.64), descriptive norms (0.04 < rs < 0.49) and injunctive norms for best friend (0.06 < rs < 0.28) largely had small-to-moderate positive correlations with negative marijuana-related consequences.

CONCLUSIONS

The 20-item B-MACQ accurately assesses marijuana-related negative consequences among male and female college student marijuana users across the United States, Argentina, Spain and Uruguay. The B-MACQ could be used effectively to identify marijuana-related consequences in college students from different countries or cultures.