Probability and correlates of transition from cannabis use to DSM-5 cannabis use disorder: Results from a large-scale nationally representative study

Association between cannabis use disorder and greater apathy in adults with HIV

BACKGROUND

Apathy is prevalent among people with HIV (PWH) and is associated with poor clinical outcomes. Cannabis use and Cannabis Use Disorder (CUD) are also disproportionately prevalent among PWH. CUD and younger onset of cannabis use may be linked to apathy in the general population; however, patterns of use most strongly associated with apathy have not been firmly established, and it is unclear whether cannabis use is linked to apathy in PWH.

METHODS

We examined associations in 311 adult PWH between Apathy Evaluation Scale-Self (AES-S) scores and CUD history (current/past/no CUD/no cannabis use) and between AES-S scores and age of CUD onset (adolescent-onset/adult-onset). We also examined robustness of associations to adjustment for depressive symptoms (which may overlap with apathy symptoms) and alcohol use.

RESULTS

Current CUD was associated with greater AES-S scores relative to cannabis users with no CUD history (β = 2.13, 95 % CI = 0.37-3.90, p = 0.018). Adolescent-onset CUD was not associated with greater apathy relative to adult-onset CUD (β = 0.56, 95 % CI = -2.57 - 3.68, p = 0.7). Associations became nonsignificant after adjustment for depressive symptoms, but not after adjustment for alcohol use. Alcohol use was correlated with apathy (r = 0.19, 95 % CI: 0.076-0.29, p = 0.001).

CONCLUSIONS

Cannabis Use Disorder and at-risk alcohol use are associated with apathy among PWH; this finding highlights the need for substance use disorder prevention and treatment among PWH.

Genome-wide association studies of lifetime and frequency cannabis use in 131,895 individuals

Cannabis is one of the most widely used drugs globally. Decriminalization of cannabis is further increasing cannabis consumption. We performed genome-wide association studies (GWASs) of lifetime (N=131,895) and frequency (N=73,374) of cannabis use. Lifetime cannabis use GWAS identified two loci, one near CADM2 (rs11922956, p=2.40E-11) and another near GRM3 (rs12673181, p=6.90E-09). Frequency of use GWAS identified one locus near CADM2 (rs4856591, p=8.10E-09; r2 =0.76 with rs11922956). Both traits were heritable and genetically correlated with previous GWASs of lifetime use and cannabis use disorder (CUD), as well as other substance use and cognitive traits. Polygenic scores (PGSs) for lifetime and frequency of cannabis use associated cannabis use phenotypes in AllofUs participants. Phenome-wide association study of lifetime cannabis use PGS in a hospital cohort replicated associations with substance use and mood disorders, and uncovered associations with celiac and infectious diseases. This work demonstrates the value of GWASs of CUD transition risk factors.

PTSD, distress and substance use in the aftermath of October 7th, 2023, terror attacks in Southern Israel

The October 7th, 2023, terror attacks in Israel were characterized by a scope and magnitude not previously known to Israeli citizens. The aim of this study was to examine the prevalence and correlates of posttraumatic stress disorder (PTSD), emotional distress and use of addictive substances among Israeli adults, approximately one month following the attacks. PTSD was assessed with the Posttraumatic Stress Disorder Checklist (PCL-5) and emotional distress was assessed with a brief version of the Hopkins Symptom Checklist (HSCL-25). Participants also ranked the degree of change in their frequency of use of six addictive substances. The final sample consisted of 415 Jewish and Arab Israeli adults. Results indicate that one month following the attacks, 31.4% of the total sample qualified for positive screening of PTSD. An increase in the use of tobacco, alcohol, tranquilizers and sleep medications was reported by 16.5%, 10.1%, 11.1% and 10.6% of the sample, respectively. Being at a younger age, of female sex and with increased exposure to the attacks was associated with increased levels of PTSD (β = -0.24, p < 0.001; β = 0.19, p < 0.001 and β = 0.29, p < 0.001, respectively) and increased distress (β = -0.22, p < 0.001, β = 0.26, p < 0.001 and β = 0.19, p < 0.001, respectively). Being male was significantly associated with increased use of cannabis (Adjusted Odds Ratio (AOR) = 4.73, 95% Confidence Interval (CI) = 1.70-13.13, p = 0.003), and level of exposure to traumatic events was significantly associated with increased use of tranquilizers (AOR = 1.58, 95% CI = 1.17-2.13, p = 0.003). The high magnitude of symptomatic response should alert other countries as they prepare for national disasters.

Predictors of effective therapy among individuals with Cannabis Use Disorder: a review of the literature

Treatment demand for Cannabis Use Disorder (CUD) has increased in the past decade in almost all European countries, and CUD is currently the most common reason for first-time drug-related treatment admission in the European Union. Even though several therapeutic approaches have been shown to benefit individuals with CUD, there is a lack of knowledge regarding factors associated with effective therapy and the underlying mechanisms of change among individuals with CUD presenting for treatment. The aim of the present paper was to review current knowledge on factors that have been shown to contribute to positive outcomes in CUD treatment. A scoping methodology was used, focusing on empirically evaluated studies that used defined, cannabis-related outcome measures. In eligible studies, factors of investigation were categorized as either 'mediators', i.e., treatment-related factors associated with the processes or mechanisms through which patients benefit from therapy, or 'moderators' which are patient-related characteristics that predict his/her odds to benefit from treatment or patient-related (i.e., moderators). Factors categorized as mediators were then classified 'specific factors' if they were related to a certain technique or treatment modality or 'common factors' if they were assessed beyond treatment modalities. Findings suggest that in CUD treatment, specific mediators include treatment duration, addressing motivation to change, acquiring coping skills, enhancing self-efficacy, and integrating several therapeutic components. Common mediators include therapeutic alliance, empathy, expectations and cultural adaptation. Moderators in CUD treatment include sex, ethnicity, age-related factors and comorbid disorders.

Cannabis use disorder and adverse cardiovascular outcomes: A population-based retrospective cohort analysis of adults from Alberta, Canada

AIM

To measure the association between cannabis use disorder (CUD) and adverse cardiovascular disease (CVD) outcomes.

DESIGN AND SETTING

We conducted a matched, population-based retrospective cohort study involving five linked administrative health databases from Alberta, Canada.

PARTICIPANTS

We identified participants with CUD diagnosis codes and matched them to participants without CUD codes by gender, year of birth and time of presentation to the health system. We included 29 764 pairs (n = 59 528 individuals in total).

MEASUREMENTS

CVD events were defined by at least one incident diagnostic code within the study period (1 January 2012-31 December 2019). Covariates included comorbidity, socio-economic status, prescription medication use and health service use. Using mortality-censored Poisson regression models, we computed survival analyses for time to incident CVD stratified by CUD status. In addition, we calculated crude and stratified risk ratios (RRs) across various covariates using the Mantel-Haenszel technique.

FINDINGS

The overall prevalence of documented CUD was 0.8%. Approximately 2.4% and 1.5% of participants in the CUD and unexposed groups experienced an incident adverse CVD event (RR = 1.57; 95% confidence interval = 1.40-1.77). CUD was significantly associated with reduced time to incident CVD event. Individuals who appeared to have greater RRs for incident CVD were those without mental health comorbidity, who had not used health-care services in the previous 6 months, who were not on prescription medications and who did not have comorbid conditions.

CONCLUSIONS

Canadian adults with cannabis use disorder appear to have an approximately 60% higher risk of experiencing incident adverse cardiovascular disease events than those without cannabis use disorder.

The impact of recreational cannabis laws on cannabis use disorder during "treat and release" visits to hospital emergency departments in four U.S. states, 2017-2020

States' legalization of cannabis influences cannabis use and may increase cannabis use disorder (CUD)-a problematic pattern of use leading to significant impairment. Few studies have examined the influence of recreational cannabis legalization on CUD in the emergency department (ED). We used four years of data from the State Emergency Department Databases (SEDD) (2017-2020) from three states (CO, MD, OR) and three years of SEDD from Rhode Island (2017-2019) to examine the relationship between the recreational legalization of cannabis and CUD among "treat and release" ED visits. During the study period, CO and OR were legal for recreational cannabis while it was illegal in MD and RI. We examined the proportion of ED visits for CUD and used multivariate logistic regression to examine the association between recreational legalization and CUD diagnosis. The sample had 17,434,655 ED visits (56.2 % female). The proportion of ED visits for CUD was 0.63 %. Annual rates ranged from 0.67 % (2017) to 0.59 % (2019) and state-level rates were 0.39 % (CO), 0.35 % (OR), 1.03 % (MD), and 0.79 % (RI). Compared to ED visits in legal states, a higher proportion of ED visits in non-legal states were from women (56.8 % versus 55.7 %) and Blacks (40.9 % versus 5.9 %). Compared to states where recreational cannabis was illegal, legalizing cannabis for recreational use was associated with nearly a 50 % decrease in the adjusted odds of CUD (AOR = 0.49, 95 % CI 0.47, 0.52). In summary, CUD rates among "treat and release" ED visits were significantly lower in legalized states than in non-legal states.

Cannabis use in context: Relations among impulsive personality traits, context, and cannabis problems

INTRODUCTION

Impulsive personality traits are associated with cannabis problems. Person-Environment Transactions Theory suggests that highly impulsive individuals behave differently in certain contexts, however little research has focused on the context in which cannabis is used. Therefore, the current study tested whether impulsive traits moderated relations between cannabis use contexts (social vs. solitary) and cannabis problems.

METHOD

In this cross-sectional study, college student who use cannabis (N = 435; 60.7% female) reported on their impulsive traits (i.e., negative urgency, positive urgency, premeditation, perseverance, and sensation seeking), typical cannabis use context (i.e., alone, with friends), typical cannabis use frequency, and past 30-day cannabis problems.

RESULTS

Both solitary cannabis use and negative urgency were associated with more cannabis problems. There were significant interactions between negative urgency and solitary cannabis use and lack of perseverance and solitary cannabis use, such that high and mean (but not low) levels of both negative urgency and lack of perseverance were associated with more cannabis problems the more frequently an individual used cannabis alone. There was also a significant interaction between sensation seeking and social cannabis use, such that high and mean (but not low) levels of sensation seeking were associated with cannabis problems for individuals who used cannabis more socially.

CONCLUSIONS

Findings suggest that impulsivity may potentiate risk for cannabis problems depending on the context in which cannabis is used. Prevention efforts may benefit from targeting protective strategy use in certain cannabis use contexts based upon an individual's personality traits.

Implications of Cannabis Legalization on Substance-Related Benefits and Harms for People Who Use Opioids: A Canadian Perspective

In 2018, Canada enacted the Cannabis Act, becoming only the second country (after Uruguay) to legalize the recreational consumption of cannabis. Although there is ongoing global disagreement on the risk-benefit profile of cannabis with increasing legalization in many parts of the world, the evidence of rising cannabis use prevalence postlegalization has been consistent. In contrast, postlegalization changes in various cannabis-related metrics have been inconsistent in Canada and other parts of the world. Furthermore, the implications of cannabis legalization on substance-related harms and benefits for people who use unregulated drugs, particularly opioids, remain unclear. Finally, although Canada did not legalize cannabis to address the opioid crisis, there is rising scientific and popular interest in the therapeutic potential of cannabis to mitigate opioid-related harms. This perspective highlights the implications of cannabis legalization on substance-related benefits and harms for people who use opioids, the current state of Canadian research, and suggestions for future directions.

Negative experiences of patients using medicinal cannabis: A systematic review of qualitative studies

AIMS AND OBJECTIVES

In this study, we systematically reviewed qualitative studies concerning patients' experience with medicinal cannabis (MC) use, to gain insight into the negative effects of MC.

BACKGROUND

Over the past decades, the use of MC for therapeutic purposes has increased. However, there is conflicting and insufficient data on possible negative physiological and psychological effects of MC treatment.

DESIGN

A systematic review was conducted and the PRISMA guidelines were adopted. Literature searches were conducted using PubMed, PsycINFO and EMBASE. Critical Appraisal Skills Programme (CASP) qualitative checklist used to assess risk of bias in the included studies.

METHODS

We included studies focusing on conventional medical treatment using cannabis-based products, approved by a physician for a particular health issue.

RESULTS

Of the 1230 articles identified in the initial search, eight articles were included in the review. Following the compilation of themes in the eligible studies, six themes were identified: (1) MC approval; (2) administrative barriers; (3) social perception; (4) MC misuse/widespread effect; (5) adverse effects; and (6) dependence or addiction. These were grouped into two meta-themes: (1) administrative and social aspects of MC use; and (2) experiences of the effects of medicinal cannabis.

CONCLUSIONS

Our findings call for specific attention to unique consequences associated with MC use. Further research is needed in order to assess the degree to which negative experiences associated with MC use may affect various aspects of patients' medical condition.

RELEVANCE TO CLINICAL PRACTICE

Describing the complex experience of MC treatment and its spectrum of consequences for patients may enable physicians, therapists and researchers to provide more attentive and accurate MC treatment to their patients.

PATIENT OR PUBLIC CONTRIBUTION

In this review, patients' narratives were explored, yet the research methods did not directly involve patients or the public.

A guided digital intervention to reduce cannabis use: The ICan randomized controlled trial

AIMS

To test the effectiveness of a digital intervention to reduce cannabis use (ICan) with adherence-focused guidance compared with educational cannabis information.

DESIGN

This was a single-blind randomized controlled trial. Follow-up clinical outcome measurements took place 3 and 6 months after randomization.

SETTING

The trial was conducted in the Netherlands. The intervention and guidance took place on-line, with recruitment via Facebook/Instagram advertisement campaigns.

PARTICIPANTS

Inclusion criteria were ≥ 18 years, cannabis use on ≥ 3 days/week, the desire to reduce/quit cannabis and using a smartphone. Participants were allocated to either ICan (n = 188) or control (n = 190) (69% male, mean age = 27.5 years).

INTERVENTION AND COMPARATOR

ICan is a mobile (web-)application based on motivational interviewing and cognitive behavioural therapy and includes three main components: screening, brief intervention (six modules) and referral to treatment. The control condition consisted of non-interactive educational cannabis information.

MEASUREMENTS

Primary outcome was the number of cannabis use days in the 7 days prior to the 6-month follow-up measurement. Secondary outcome measures at 3- and 6-month follow-up were the number of grams of cannabis used and attitudes towards seeking professional help for cannabis use related problems.

FINDINGS

Intention-to-treat analysis showed that 6 months after randomization the mean number of cannabis use days in the past 7 days was reduced in both conditions (time P < 0.001), with no significant group × time interaction effect [ICan = 4.17 days, control = 4.31 days, Cohen's dbetween  = 0.06, 95% confidence interval (CI) = -0.15, 0.26, P = 0.93]. Three months after randomization the mean number of grams used in the past 7 days was reduced in both conditions, with a significantly larger reduction in the ICan condition (P = 0.009, Cohen's dbetween  = 0.15). At 6-month follow-up the significant group × time interaction effect was no longer present (P = 0.30). In both conditions, attitudes towards seeking professional help remained virtually unchanged over time.

CONCLUSIONS

A digital intervention to reduce cannabis use (ICan) was more effective than non-interactive educational cannabis information in reducing grams of cannabis used over 3 months, but not more effective at reducing cannabis use days at 6-month follow-up. Cannabis use reductions were maintained in both conditions between 3 and 6 months' follow-up.

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.

Cannabis use disorder in patients with chronic pain: overestimation and underestimation in a cross-sectional observational study in 3 German pain management centres

ABSTRACT

There are concerns that cannabis use disorder (CUD) may develop in patients with chronic pain prescribed medical cannabis (MC). The criteria for CUD according to the Statistical Manual for Mental Disorders Version 5 (DSM-5) were not developed for the identification of patients using cannabis for therapeutic reasons. In addition, some items of CUD might be attributed to the desire of the patient to relieve the pain. Therefore, alternative strategies are needed to identify the true prevalence of CUD in persons with chronic pain being treated with MC. The prevalence of CUD in patients with chronic pain according to the DSM-5 criteria was assessed using an anonymous questionnaire in 187 consecutive patients attending 3 German pain centres in 2021. Questionnaires were rated as follows: (1) all criteria included, (2) removal of items addressing tolerance and withdrawal, and (3) removal of positive items if associated with the desire to relieve pain. Abuse was assessed by self-report (use of illegal drugs and diversion and illegal acquisition of MC) and urine tests for illegal drugs. Physicians recorded any observation of abuse. Cannabis use disorder according to the DSM-5 criteria was present in 29.9%, in 13.9% when items of tolerance and withdrawal were removed, and in 2.1% when positive behaviour items were removed. In 10.7%, at least 1 signal of abuse was noted. Urine tests were positive for nonprescribed drugs (amphetamines and tranquilizer) in 4.8% of subjects. Physicians identified abuse in 1 patient. In this study, the DSM-5 criteria overestimated and physicians underestimated the prevalence of CUD in patients prescribed MC for chronic pain.

Sex differences in Cannabis use disorder and associated psychosocial problems among US adults, 2012-2013

While men show greater prevalence of cannabis use disorder (CUD) than women, whether cannabis use frequency drives this difference is unknown, and little is known about sex differences in problems associated with CUD. We therefore assessed the association of CUD with sex, adjusted for frequency of use, and compared the association of psychosocial and health-related problems with CUD between men and women. We included US adults age ≥ 18 who reported past-year cannabis use in the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions-III (n = 3701). Cannabis use frequency, DSM-5 CUD and problems (interpersonal, financial, legal, health-related) were assessed. Associations between psychosocial problems, sex and DSM-5 CUD were assessed using prevalence differences (PD) and 95% confidence intervals (CI) from logistic regression models, controlling for demographics and cannabis use frequency, and effect modification by sex was assessed. We found that the prevalence of CUD among men versus women was not significantly greater after adjusting for use frequency. Women had significantly higher prevalence of interpersonal, financial and health-related problems than men, adjusting for frequency of use. Women showed significantly greater association of CUD with interpersonal problems with a boss or co-workers (p < 0.05) and a neighbor, relative or friend (p < 0.05) compared to men. Lack of sex differences in CUD after adjusting for frequency of use suggests use frequency may be an important target of CUD prevention efforts. CUD showed stronger associations for interpersonal problems among women than men, suggesting the need for particular emphasis on treating interpersonal problems related to cannabis use among women.

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.

Consensus paper of the WFSBP task force on cannabis, cannabinoids and psychosis

OBJECTIVES

The liberalisation of cannabis laws, the increasing availability and potency of cannabis has renewed concern about the risk of psychosis with cannabis.

METHODS

The objective of the WFSBP task force was to review the literature about this relationship.

RESULTS

Converging lines of evidence suggest that exposure to cannabis increases the risk for psychoses ranging from transient psychotic states to chronic recurrent psychosis. The greater the dose, and the earlier the age of exposure, the greater the risk. For some psychosis outcomes, the evidence supports some of the criteria of causality. However, alternate explanations including reverse causality and confounders cannot be conclusively excluded. Furthermore, cannabis is neither necessary nor sufficient to cause psychosis. More likely it is one of the multiple causal components. In those with established psychosis, cannabis has a negative impact on the course and expression of the illness. Emerging evidence also suggests alterations in the endocannabinoid system in psychotic disorders.

CONCLUSIONS

Given that exposure to cannabis and cannabinoids is modifiable, delaying or eliminating exposure to cannabis or cannabinoids, could potentially impact the rates of psychosis related to cannabis, especially in those who are at high risk for developing the disorder.

Age of onset and alcohol and cannabis use disorders among Mexican American young adults: Robust substance-specific effects of early use as a risk factor

We investigated the substance-specific and cross-substance risk associated with early onset (before age 15) of drunkenness and cannabis use in the subsequent development of alcohol (AUD) and cannabis use disorder (CUD) in Mexican American young adults. Survival analyses employed Cox proportional hazards models for AUD and CUD, separately. In cross-risk analyses, we modeled estimates for those participants reporting lifetime use of both substances. Early onset of drunkenness and early onset of cannabis use were associated with shorter time to AUD and CUD, respectively, even after accounting for psychiatric disorders. While there were no cross-risk associations, adjusting for psychiatric disorders and early onset cannabis use attenuated the association of early drunkenness with AUD.

A Bayesian learning model to predict the risk for cannabis use disorder

BACKGROUND

The prevalence of cannabis use disorder (CUD) has been increasing recently and is expected to increase further due to the rising trend of cannabis legalization. To help stem this public health concern, a model is needed that predicts for an adolescent or young adult cannabis user their personalized risk of developing CUD in adulthood. However, there exists no such model that is built using nationally representative longitudinal data.

METHODS

We use a novel Bayesian learning approach and data from Add Health (n = 8712), a nationally representative longitudinal study, to build logistic regression models using four different regularization priors: lasso, ridge, horseshoe, and t. The models are compared by their prediction performance on unseen data via 5-fold-cross-validation (CV). We assess model discrimination using the area under the curve (AUC) and calibration by comparing the expected (E) and observed (O) number of CUD cases. We also externally validate the final model on independent test data from Add Health (n = 570).

RESULTS

Our final model is based on lasso prior and has seven predictors: biological sex; scores on personality traits of neuroticism, openness, and conscientiousness; and measures of adverse childhood experiences, delinquency, and peer cannabis use. It has good discrimination and calibration performance as reflected by its respective AUC and E/O of 0.69 and 0.95 based on 5-fold CV and 0.71 and 1.10 on validation data.

CONCLUSION

This externally validated model may help in identifying adolescent or young adult cannabis users at high risk of developing CUD in adulthood.

Intermediate stable states in substance use

Many people across the world use potentially addictive legal and illegal substances, but evidence suggests that not all use leads to heavy use and dependence, as some substances are used moderately for long periods of time. Here, we empirically examine, the stability of and transitions between three substance use states: zero-use, moderate use, and heavy use. We investigate two large datasets from the US and the Netherlands on yearly usage and change of alcohol, nicotine, and cannabis. Results, which we make available through an extensive interactive tool, suggests that there are stable moderate use states, even after meeting criteria for a positive diagnosis of substance abuse or dependency, for both alcohol and cannabis use. Moderate use of tobacco, however, was rare. We discuss implications of recognizing three states rather than two states as a modeling target, in which the moderate use state can both act as an intervention target or as a gateway between zero use and heavy use.

Pattern of predictive features of continued cannabis use in patients with recent-onset psychosis and clinical high-risk for psychosis

Continued cannabis use (CCu) is an important predictor for poor long-term outcomes in psychosis and clinically high-risk patients, but no generalizable model has hitherto been tested for its ability to predict CCu in these vulnerable patient groups. In the current study, we investigated how structured clinical and cognitive assessments and structural magnetic resonance imaging (sMRI) contributed to the prediction of CCu in a group of 109 patients with recent-onset psychosis (ROP). We tested the generalizability of our predictors in 73 patients at clinical high-risk for psychosis (CHR). Here, CCu was defined as any cannabis consumption between baseline and 9-month follow-up, as assessed in structured interviews. All patients reported lifetime cannabis use at baseline. Data from clinical assessment alone correctly classified 73% (p < 0.001) of ROP and 59 % of CHR patients. The classifications of CCu based on sMRI and cognition were non-significant (ps > 0.093), and their addition to the interview-based predictor via stacking did not improve prediction significantly, either in the ROP or CHR groups (ps > 0.065). Lower functioning, specific substance use patterns, urbanicity and a lack of other coping strategies contributed reliably to the prediction of CCu and might thus represent important factors for guiding preventative efforts. Our results suggest that it may be possible to identify by clinical measures those psychosis-spectrum patients at high risk for CCu, potentially allowing to improve clinical care through targeted interventions. However, our model needs further testing in larger samples including more diverse clinical populations before being transferred into clinical practice.

Prevalence and correlates of cannabis use disorder among Australians using cannabis products to treat a medical condition

INTRODUCTION

Prior research has examined the prevalence and correlates of cannabis use disorder (CUD) in people who use cannabis; however, these are poorly described for people using cannabis for medical reasons.

METHODS

Data came from a 2018 to 2019 online, anonymous, cross-sectional survey of Australians reporting using either illicit or licit cannabis for medical reasons within the past year. Included were questions on demographics, current and lifetime patterns of cannabis use, clinical conditions for which medical cannabis was used, and individual criteria for CUD and cannabis withdrawal syndrome. Bayesian Horseshoe logistic regression models were used to identify covariates associated with meeting CUD DSM-5 conditions for any-CUD (≥2/11 criteria) and moderate-severe-CUD (≥4/11).

RESULTS

A total of 905 participants were included in the analysis. The majority (98%) used illicit cannabis products. Criteria for any-CUD criteria were met by 290 (32.0%), and 117 (12.9%) met criteria for moderate-severe-CUD. Tolerance (21%) and withdrawal (35%) were the most commonly met criteria. Correlates with the strongest association with CUD were inhaled route of administration [odds ratio (OR) = 2.96, 95% credible interval 1.11, 7.06], frequency of cannabis use (OR = 1.24, 1.11-1.35), proportion of cannabis for medical reasons (OR = 0.83, 0.74, 0.94), frequency of tobacco use (OR = 1.10, 1.03, 1.17), age (OR = 0.75, 0.64, 0.90) and pain as main clinical indication (OR = 0.58, 0.36, 1.00).

DISCUSSION AND CONCLUSIONS

Prevalence of CUD in medical cannabis users appears comparable to 'recreational' users, with many similar correlates. CUD was associated with using cannabis to treat mental health rather than pain conditions and inhaled over other routes of administration.

Influence of childhood maltreatment on prevalence, onset and persistence of psychiatric comorbidities and suicide attempts in bipolar disorders

Background

Methods

Results

Conclusions

Moral injury and cannabis use disorder among Israeli combat veterans: The role of depression and perceived social support

INTRODUCTION

Cannabis use is highly common among military combat veterans, who are also inclined toward developing Cannabis Use Disorder (CUD). The present study examined the association between Moral Injury (MI), which may occur following combat-related acts that violate one's deep moral beliefs, and CUD, as well as the mediating role of depression and the moderating role of perceived social support.

METHODS

Participants were 215 Israel Defense Forces male combat veterans discharged from military service within the past five years, who reported using cannabis regularly (≥3 days weekly) during the past six months. Participants completed a set of validated self-report questionnaires assessing MI, CUD, depression and perceived social support.

RESULTS

Results indicated that MI-perpetration by self and MI-betrayal were positively associated with CUD. Additionally, serial mediation analyses indicated that the associations between MI-self and betrayal and CUD were mediated by depression (direct effect: β = 0.13, p = 0.1, and β = 0.20, p = .04, respectively). Furthermore, moderation analyses indicated that the association between MI and CUD was significant only among participants with average or high levels of perceived social support (for support by a significant other: b = 0.13, p = .006 and b = 0.22, p < .001 for MI-self and betrayal, respectively; for support by family: b = 0.13, p = .009 for MI-betrayal; and for support by friends: b = 0.1, p = .044 for MI-self).

CONCLUSIONS

MI and its association with CUD should be addressed in clinical settings when working with combat veterans.

Lower-Risk Cannabis Use Guidelines (LRCUG) for reducing health harms from non-medical cannabis use: A comprehensive evidence and recommendations update

BACKGROUND

Cannabis use is common, especially among young people, and is associated with risks for various health harms. Some jurisdictions have recently moved to legalization/regulation pursuing public health goals. Evidence-based 'Lower Risk Cannabis Use Guidelines' (LRCUG) and recommendations were previously developed to reduce modifiable risk factors of cannabis-related adverse health outcomes; related evidence has evolved substantially since. We aimed to review new scientific evidence and to develop comprehensively up-to-date LRCUG, including their recommendations, on this evidence basis.

METHODS

Targeted searches for literature (since 2016) on main risk factors for cannabis-related adverse health outcomes modifiable by the user-individual were conducted. Topical areas were informed by previous LRCUG content and expanded upon current evidence. Searches preferentially focused on systematic reviews, supplemented by key individual studies. The review results were evidence-graded, topically organized and narratively summarized; recommendations were developed through an iterative scientific expert consensus development process.

RESULTS

A substantial body of modifiable risk factors for cannabis use-related health harms were identified with varying evidence quality. Twelve substantive recommendation clusters and three precautionary statements were developed. In general, current evidence suggests that individuals can substantially reduce their risk for adverse health outcomes if they delay the onset of cannabis use until after adolescence, avoid the use of high-potency (THC) cannabis products and high-frequency/-intensity of use, and refrain from smoking-routes for administration. While young people are particularly vulnerable to cannabis-related harms, other sub-groups (e.g., pregnant women, drivers, older adults, those with co-morbidities) are advised to exercise particular caution with use-related risks. Legal/regulated cannabis products should be used where possible.

CONCLUSIONS

Cannabis use can result in adverse health outcomes, mostly among sub-groups with higher-risk use. Reducing the risk factors identified can help to reduce health harms from use. The LRCUG offer one targeted intervention component within a comprehensive public health approach for cannabis use. They require effective audience-tailoring and dissemination, regular updating as new evidence become available, and should be evaluated for their impact.

Variations of cannabis-related adverse mental health and addiction outcomes across adolescence and adulthood: A scoping review

INTRODUCTION

Evidence supporting associations between cannabis use and many health outcomes is growing, however it remains unclear how such associations vary across the lifespan. We therefore aim to answer the following questions: (1) Are the risks of cannabis's adverse effects on mental health and addiction-related outcomes different in adolescents than in adults? (2) What are the relationships between these cannabis's adverse effects and (a) an individual's age at first cannabis use, (b) age at assessment, and (c) duration of cannabis use?

METHODS

We searched Medline, Embase, CINAHL, and PsychINFO from inception to 18 October 2021. Two reviewers independently screened studies and descriptively synthesized results.

RESULTS

We included 140 studies. Cannabis effects on mental health and addiction-related outcomes were worse in adolescents, early cannabis initiators and cannabis users who consumed for longest periods. Evidence of worse long-term adverse effects in adolescents was substantial for psychosis, cannabis, and nicotine use disorders; mixed for depression, suicidality, other substance use and disorders; and limited for anxiety. Additionally, acute cannabis exposure had the opposite trend with adults more often reporting adverse effects than adolescents.

CONCLUSION

The available evidence suggests that cannabis use should be delayed as late as possible in adulthood and shortened in duration across the lifespan to decrease the risk of negative outcomes, while emphasizing the need for adapted harm reduction approaches. This scoping review provides evidence on the role of age and duration of exposure as determinants of cannabis-related adverse effects, which may inform prevention and harm reduction strategies.

SYSTEMATIC REVIEW REGISTRATION

https://doi.org/10.17605/OSF.IO/BYG72.

Bipolar disorder and cannabis use: A bidirectional two-sample Mendelian randomization study

Cannabis use is associated with a number of psychiatric disorders; however, the causal nature of these associations has been difficult to establish. Mendelian randomization (MR) offers a way to infer causality between exposures with known genetic predictors (genome-wide significant single nucleotide polymorphisms [SNPs]) and outcomes of interest. MR has previously been applied to investigate the relationship between lifetime cannabis use (having ever used cannabis) and schizophrenia, depression, and attention deficit hyperactivity disorder (ADHD), but not bipolar disorder, representing a gap in the literature. We conducted a two-sample bidirectional MR study on the relationship between bipolar disorder and lifetime cannabis use. Genetic instruments (SNPs) were obtained from the summary statistics of recent large genome-wide association studies (GWAS). We conducted a two-sample bidirectional MR study on the relationship between bipolar disorder and lifetime cannabis use using inverse variance weighted regression, weighted median regression, and Egger regression. Genetic liability to bipolar disorder was significantly associated with an increased risk of lifetime cannabis use; however, genetic liability to lifetime cannabis use showed no association with the risk of bipolar disorder. The sensitivity analyses showed no evidence for pleiotropic effects. The present findings support a causal effect of liability to bipolar disorder on the risk of using cannabis at least once. No evidence was found for a causal effect of liability to cannabis use on the risk of bipolar disorder. These findings add important new knowledge to the understanding of the complex relationship between cannabis use and psychiatric disorders.

The Green Sheep: Exploring the Perceived Risks and Benefits of Cannabis Among Young Military Members and Veterans

Medical and recreational cannabis are becoming more accessible and socially accepted across the United States. Emerging adults (EAs; 18 to 29) are the largest group of cannabis users. Studies have found that veterans are more likely to report cannabis use compared to nonveterans. While research exists on the use levels of cannabis, limited knowledge is available on the perceived risks and benefits of using cannabis among EA military and veteran populations. Helping professionals encounter veterans who use cannabis and must consider military cultural factors and attitudes towards cannabis that may influence or exacerbate cannabis use. We conducted a qualitative study with 23 EA veteran and military members with high-risk substance use and asked about their thoughts on the acceptability, risks, and perceived benefits associated with cannabis. Two qualitative coders used NVivo to find themes following the six steps of thematic analysis. Results provide in-depth understanding of EA military members and veterans' perceptions of cannabis. Overall, we found participants were receptive to using cannabis for pain ailments, mental health issues, and as an alternative to benzodiazepines, opioids, and alcohol. However, they acknowledged restrictions are needed to moderate cannabis use and mitigate negative outcomes. Lastly, participants recognized the incongruence of cannabis use with military job responsibilities and expectations. These findings shed light on potential risk and protective factors related to using cannabis for recreational or medical reasons and should be considered when consulting EA military members and veterans.

Differences in child and adult biopsychosocial characteristics associated with regular cannabis use in individuals with and without cannabis use disorder

BACKGROUND

Regular cannabis use, even without cannabis use disorder (CUD), is associated with numerous biopsychosocial problems. Biopsychosocial risk factors that precede regular use and CUD might reflect broader pre-existing risk factors rather than the consequence of cannabis use. We aimed to (1) replicate prior work differentiating psychosocial problems associated with regular cannabis use with or without CUD relative to no-use in adulthood, and (2) test if these use groups differed in biopsychosocial functioning in early and middle childhood.

METHODS

Biopsychosocial characteristics of individuals at-risk for substance use problems (n = 402) reporting no-use, regular use without CUD, and regular use with CUD by young adulthood were prospectively compared during early childhood (ages 3-5), middle childhood (ages 9-11) and young adulthood (ages 18-25).

RESULTS

Regular use (vs. no-use) was associated with more health problems (mean d = |0.57|), psychopathology (mean d = |0.72|), social and family environment risk (mean d = |0.88|) in childhood and adulthood and comorbid substance use in adulthood (mean d = |1.25|). Regular use with and without CUD was linked to similar, developmentally-persistent patterns of problems across domains.

CONCLUSIONS

We found that childhood risk factors present many years prior to cannabis initiation (as early as age 3) differentiated patterns of adult cannabis use and CUD status in adulthood. Therefore, biopsychosocial impairments associated with regular cannabis use in adulthood is not solely attributable to cannabis exposure but can be traced back to early and persistent biopsychosocial risk that may benefit from early behavioral intervention, irrespective of CUD diagnosis.

Which came first: Cannabis use or deficits in impulse control?

Impulse control deficits are often found to co-occur with substance use disorders (SUDs). On the one hand, it is well known that chronic intake of drugs of abuse remodels the brain with significant consequences for a range of cognitive behaviors. On the other hand, individual variation in impulse control may contribute to differences in susceptibility to SUDs. Both of these relationships have been described, thus leading to a "chicken or the egg" debate which remains to be fully resolved. Does impulsivity precede drug use or does it manifest as a function of problematic drug usage? The link between impulsivity and SUDs has been most strongly established for cocaine and alcohol use disorders using both preclinical models and clinical data. Much less is known about the potential link between impulsivity and cannabis use disorder (CUD) or the directionality of this relationship. The initiation of cannabis use occurs most often during adolescence prior to the brain's maturation, which is recognized as a critical period of development. The long-term effects of chronic cannabis use on the brain and behavior have started to be explored. In this review we will summarize these observations, especially as they pertain to the relationship between impulsivity and CUD, from both a psychological and biological perspective. We will discuss impulsivity as a multi-dimensional construct and attempt to reconcile the results obtained across modalities. Finally, we will discuss possible avenues for future research with emerging longitudinal data.

From Enchantment to Disillusion: A Narrative Exploration of Cannabis Use Disorder Among Young Israeli Combat Veterans

Introduction: Substance use is common among military personnel and war veterans, especially combat veterans. Despite substantially high prevalence of cannabis use and Cannabis Use Disorder (CUD) consistently reported among veterans, little is known about psychological factors which may underlie CUD among this population. Methods: In this study, we used narrative analysis in order to interpret retrospective in-depth interviews of combat veterans (N = 12) who were released from mandatory military duty during the past 5 years and currently qualified for a diagnosis of CUD. Participants were recruited from a larger quantitative study were eligible for participation if they screened positive for a diagnosis of CUD according to the Cannabis Use Disorder Identification Test- Revised (CUDIT-R) questionnaire. CUD diagnosis was validated in-person using the cannabis section of the Alcohol Use Disorder and Associated Disabilities Interview Schedule-5 (AUDADIS-5) interview protocol. All interviews were transcribed and coded using the content analysis procedure. Findings: Five main themes were extracted: (a) Traumatic events (b) Attitudes toward cannabis use (c) Combatant identity (d) The role of authority/father figures, and (e) Moral crisis. A meta-theme has been identified, "from enchantment to disillusion," representing a gradual psychological shift from a hopeful, highly motivated stance into the current state of mental rupture and moral injury, which are unsuccessfully compensated by excessive use of cannabis. Conclusions: This study shed light on the etiology of CUD among young combat veterans, highlighting the role of supposed self-medication for trauma and sense of betrayal.

Latency to cannabis dependence mediates the relationship between age at cannabis use initiation and cannabis use outcomes during treatment in men but not women

BACKGROUND

Time from first cannabis use to cannabis dependence (latency) may be an important prognostic indicator of cannabis-related problems and treatment outcomes. Gender differences in latency have been found; however, research in this general area is limited. As cannabis use increases and perceived risk declines, a better understanding of how these factors interact in predicting treatment outcomes is critical.

METHODS

A secondary data analysis of a randomized, double-blind, placebo-controlled pharmacotherapy trial for cannabis dependence (N = 302) examined the associations between age of cannabis use onset, time to cannabis dependence (latency), and gender on cannabis use during the trial. Mediation analysis tested whether the association between age of onset and cannabis use during the trial was mediated by latency to cannabis dependence differentially for men and women.

RESULTS

Age of use initiation was inversely correlated with latency to dependence prior to treatment [HR(95% CI) = 1.18 (1.06, 1.30); p = .002] and cannabis use during treatment (β=-1.27; SE = 0.37; p < .001). There was a significant mediation effect between age of onset, latency, and cannabis use that varied by gender. Earlier age of onset predicted longer latency, and subsequently, greater cannabis use during the trial in men (21.4% mediated; p < .05), but not women. Other substance use, race, and past psychiatric diagnosis did not predict latency either independently or in interaction models.

CONCLUSION

Findings support existing evidence that early cannabis use onset is associated with worse outcomes and add new knowledge on the differential associations between age of onset, latency to cannabis dependence, and treatment outcomes for men and women.

A preliminary risk prediction model for cannabis use disorder

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Substance use disorders are currently a major public health crisis in the US.

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The prevalence of cannabis use disorder is rising due to legalization of cannabis.

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This study built models to predict the risk of cannabis use disorder for a user.

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Risk factors include personality traits, impulsivity and initial smoking enjoyment.

The ongoing trend toward legalization of cannabis for medicinal/recreational purposes is expected to increase the prevalence of cannabis use disorder (CUD). Thus, it is imperative to be able to predict the quantitative risk of developing CUD for a cannabis user based on their personal risk factors. Yet no such model currently exists. In this study, we perform preliminary analysis toward building such a model. The data come from n = 94 regular cannabis users recruited from Albuquerque, New Mexico during 2007–2010. As the data are cross-sectional, we only consider risk factors that remain relatively stable over time. We apply statistical and machine learning classification techniques that allow n to be small relative to the number of predictors. We use predictive accuracy estimated using leave-one-out-cross-validation to evaluate model performance. The final model is a LASSO logistic regression model consisting of the following seven risk factors: age; level of enjoyment from initial cigarette smoking; total score on Impulsive Sensation-Seeking Scale questionnaire; score on cognitive instability factor of Barratt Impulsivity Scale questionnaire; and scores on neuroticism, openness, and conscientiousness personality traits of Neuroticism, Extraversion, and Openness inventory. This model has an overall accuracy of 0.66 and the area under its receiver operating characteristic curve is 0.65. In summary, a preliminary relative risk model for predicting the quantitative risk of CUD is developed. It can be employed to identify users at high risk of CUD who may be provided with early intervention.