Cannabis Use-related Problems Research Articles

Associations between hair-derived cannabinoid levels, self-reported use, and cannabis-related problems

RationaleAs cannabis potency and cannabis use are increasing in newly legalized markets, it is increasingly important to measure and examine the effects of cannabinoid exposure.ObjectivesThe current study aims to assess how hair-derived cannabinoid concentrations – offering insight into three-month cumulative exposure – are associated with common self-report measures of cannabis use and cannabis use-related problems.Methods74 near-daily dependent cannabis users self-reported their quantity of cannabis use, cannabis use-related problems, and estimated cannabis potency. Hair samples were provided to quantify Δ9-THC, CBD, and CBN using LC–MS/MS and THC-consumption was verified by analyzing THC-COOH in hair using GC–MS/MS.ResultsCannabinoids were detectable in 95.95% of the hair samples from individuals who tested positive on a urine screen for cannabis. Δ9-THC concentrations were positively associated with measures of self-reported potency (relative potency, potency category, and perceived ‘high’), but Δ9-THC, CBD, CBN concentrations and THC/CBD ratio were not associated with self-reported quantity of use. Self-reported potency, but not hair-derived concentrations, were associated with withdrawal and craving. Self-reported quantity of cannabis use, but not cannabinoid concentrations, were associated with cannabis use-related problems.ConclusionsThe use of hair-derived cannabinoid quantification is supported for detecting cannabis use in near-daily users, but the lack of associations between hair-derived cannabinoid concentrations and self-report measures of use does not support the use of hair analyses alone for quantification of cannabinoid exposure. Further research comparing hair-derived cannabinoid concentrations with other biological matrices (e.g. plasma) and self-report is necessary to further evaluate the validity of hair analyses for this purpose.

Attentional Biases and Their Association with Substance-Use-Related Problems and Addictive Behaviors: The Utility of a Gamified Value-Modulated Attentional Capture Task

BackgroundAttentional biases towards reward stimuli have been implicated in substance use-related problems. The value-modulated attentional capture (VMAC) task assesses such reward-related biases. The VMAC task widely used in lab studies tends to be monotonous and susceptible to low effort. We therefore tested a gamified online version of the VMAC that aimed to increase participant engagement. Our goal was to examine how VMAC is associated with substance use-related problems and addictive behaviors, and whether this association is moderated by cognitive control. MethodsWe recruited 285 participants from an online community, including heavy alcohol users. All participants completed a novel gamified version of the VMAC task, measures of substance use and addictive behaviors (addictive-like eating behavior, problematic smartphone use), the WebExec measure of problems with executive functions, and the Stroop Adaptive Deadline Task (SDL) as a measure of cognitive control. ResultsThe gamified VMAC task successfully identified value-modulated attentional capture effects towards high-reward stimuli. We found no significant associations between VMAC scores, problematic alcohol or cannabis use, addictive behaviors, or any moderation by a behavioral measure of cognitive control. Exploratory analyses revealed that self-reported cognitive problems were associated with more alcohol-, and cannabis-related problems, and addictive behaviors. Greater attentional capture (VMAC) was associated with more cannabis use-related problems among individuals with higher levels of self-reported cognitive problems. ConclusionsOur study is one of the first to demonstrate the utility of the gamified version of the VMAC task in capturing attentional reward biases. Self-reported problems with cognitive functions represent a key dimension associated with substance use-related problems and addictive behaviors.

Resting state functional connectivity in dependent cannabis users: The moderating role of cannabis attitudes

BackgroundThe global increase in lenient cannabis policy has been paralleled by reduced harm perception, which has been associated with cannabis use initiation and persistent use. However, it is unclear how cannabis attitudes might affect the brain processes underlying cannabis use. MethodsResting state functional connectivity (RSFC) within and between the executive control network (ECN), salience network (SN), and default mode network (DMN) was assessed in 110 near-daily cannabis users with cannabis use disorder (CUD) and 79 controls from The Netherlands and Texas, USA. Participants completed a questionnaire assessing the perceived benefits and harms of cannabis use from their personal, friends-family’s, and country-state’s perspectives and reported on their cannabis use (gram/week), CUD severity, and cannabis-related problems. ResultsRSFC within the dorsal SN was lower in cannabis users than controls, while no group differences in between-network RSFC were observed. Furthermore, heavier cannabis use was associated with lower dorsal SN RSFC in the cannabis group. Perceived benefits and harms of cannabis – from personal, friends-family’s, and country-state’s perspectives – moderated associations of cannabis use, CUD severity, and cannabis use-related problems with within-network RSFC of the SN, ECN, and DMN. Personal perceived benefits and country-state perceived harms moderated the association between CUD severity and RSFC between the ventral and dorsal DMN. ConclusionsThis study highlights the importance of considering individual differences in the perceived harms and benefits of cannabis use as a factor in the associations between brain functioning and cannabis use, CUD severity, and cannabis use-related problems.

Evaluation of a Cannabis Harm Reduction Intervention for People With First-Episode Psychosis: Protocol for a Pilot Multicentric Randomized Trial.

Cannabis use is highly prevalent in young people with first-episode psychosis (FEP). Most report cannabis use and are often diagnosed with a cannabis use disorder upon admission to specialized services for psychosis. Cannabis use in this population is associated with worse clinical and psychosocial outcomes, rendering it an important clinical target. Despite this, few cannabis-specific interventions have been developed for FEP and empirically evaluated through randomized controlled trials. Most evaluated interventions have targeted cannabis abstinence, with limited efficacy, but none have centered on harm reduction outcomes for people with FEP who use cannabis. Early intervention services (EIS), the standard of care for FEP, have not successfully addressed problematic cannabis use in people with FEP either. Clinical trials are needed to explore the potential of harm reduction strategies, although these should be preceded by robust pilot studies to establish optimal design and approaches. Recognizing the need for harm reduction strategies for individuals with FEP who use cannabis and based on research on patients' preferences supporting harm reduction interventions, we developed a mobile app-based cannabis harm reduction intervention for this population. This intervention is called Cannabis Harm-reducing Application to Manage Practices Safely (CHAMPS). Here, we describe the protocol for a multicenter, 2-arm, parallel group, randomized pilot trial evaluating the acceptability of CHAMPS for people with FEP who use cannabis and the feasibility of conducting a full-scale trial in this population using CHAMPS. The impact on key clinical outcomes will also be explored. This pilot trial aims to recruit 100 young people with FEP using cannabis from 6 Canadian EIS clinics. Participants will be randomized in a 1:1 ratio to CHAMPS+EIS or EIS-only. CHAMPS acceptability will be assessed using completion rates for the intervention arm. Trial feasibility will be assessed using a retention rate for randomized participants. Secondary outcomes will explore tendencies of change in the use of protective behavioral strategies and in motivation to change strategies. Exploratory outcomes include cannabis use-related problems, other substance use, the severity of dependence, psychotic symptoms, and health care service use. Recruitment began in December 2021. Data collection and analysis are expected to be completed in early 2024. Study results describing CHAMPS acceptability and trial feasibility will then be submitted for publication in a peer-reviewed journal. CHAMPS uniquely combines evidence-based approaches, patient perspectives, and mobile health technology to support harm reduction in people with FEP who use cannabis. Attaining adequate acceptability and feasibility through this trial may justify further exploration of harm reduction tools, particularly within the context of conducting a larger-scale randomized controlled trial. This pilot trial has the potential to advance knowledge for researchers and clinicians regarding a feasible and user-acceptable research design in the cannabis and early psychosis fields. ClinicalTrials.gov NCT04968275, https://clinicaltrials.gov/ct2/show/NCT04968275. DERR1-10.2196/53094.

Identifying Subgroups of Cannabis Users Based on Help-Seeking Preferences: A Latent Class Analysis

Background: The majority of people with cannabis use disorder do not seek treatment. If we were able to gain more insight into different subgroups of cannabis users based on help-seeking preferences, we could use this information to inform the development and promotion of interventions targeted at specific subgroups of cannabis users, to ultimately narrow the treatment gap. Methods: An online survey was conducted among 1,015 Dutch frequent cannabis users (18–72 years) to assess their cannabis use, help-seeking preferences, psychopathology, and psychological distress. Latent class analysis was used to identify classes of cannabis users based on their help-seeking preferences. Differences between the identified classes in terms of sociodemographics, cannabis use, and psychopathology were examined. Results: We identified four classes with distinct preferences for support. Class 1 (“no support/only social,” n = 548) had a low probability of finding any form of support appealing other than social support. Class 2 (“online help,” n = 170) had relatively high probabilities of finding online help appealing. Class 3 (“GP/outpatient,” n = 208) had a relatively high probability of finding support from the general practitioner and outpatient substance use disorder treatment appealing. Class 4 (“all sources,” n = 89) had moderate to high probabilities for all sources of support. In terms of sociodemographics, differences between the classes were found with regard to gender and level of education. The classes were fairly similar with regard to cannabis use, only the “online help” class scored significantly lower on both cannabis use frequency and quantity compared to most of the other classes. In terms of psychopathology, the “GP/outpatient” class and the “all sources” class experienced more cannabis use-related problems and were more likely to report multiple past quit attempts than the “online help” class and the “no support/only social” class. Conclusions: Our study shows that there is a lot of inter-individual variation in how appealing various forms of help are to cannabis users. Our findings emphasize the importance of promoting a variety of treatment modalities for cannabis users, including real-life and digital options, and indicate what might appeal to whom.

Measuring recent cannabis use across modes of delivery: Development and validation of the Cannabis Engagement Assessment

IntroductionMethods of cannabis engagement have proliferated in recent years, which many self-report measures do not adequately capture. There is a clear need for self-report measures that capture current patterns of cannabis use across a range of methods, and that can be used to track changes over time. The current study developed the Cannabis Engagement Assessment (CEA), a self-report measure of past month cannabis use across dry flower, concentrate, and edible products. MethodsA sample of 349 participants from the undergraduate student population and broader community were recruited. To examine convergent validity of the CEA, participants completed measures of cannabis engagement, cannabis misuse, and use-related problems. To assess divergent validity, participants also completed measures of depression and alcohol use problems. Criterion and test–retest reliability were examined in a subset of 65 participants who re-completed the CEA and a timeline follow-back interview (TLFB). ResultsIndicators of cannabis use frequency and quantity showed good convergence with measures of cannabis use patterns, problematic engagement, and cannabis use-related problems. Divergent validity of the CEA was supported by lower associations with alcohol use problems and depression symptoms. The CEA also showed good test–retest reliability and convergence with estimates of frequency and quantity of cannabis use from the TLFB. ConclusionsThe CEA is a viable self-report measure of cannabis use that is representative of current patterns of recreational cannabis engagement. Its focus on cannabis use in the preceding 30 days also lends itself to measuring changes in use over time.

Responsiveness to mHealth Intervention for Cannabis Use in Young Adults Predicts Improved Outcomes.

Mobile health (mHealth) interventions have proliferated rapidly in part because of their advantages in reducing consumer and provider burden, but less attention has been paid to participant responsiveness to mHealth programs and how this may affect outcomes. This study adds to that literature by examining whether participant responsiveness to a text messaging-delivered intervention was predictive of treatment outcomes over baseline levels of the outcome. We analyzed data from a pilot-randomized controlled trial of a text messaging-intervention to treat young adults with cannabis use disorder (treatment arm, N = 47), examining three indicators of responsiveness (two behavioral: treatment completion and booster message participation; and one subjective: perceived helpfulness of treatment) on abstinence from cannabis use and use-related problems measured at 3-month follow-up. With the exception of completion, the indicators were positively correlated with each other. Each of the indicators was predictive of better treatment outcomes above and beyond baseline risk. Treatment completion and booster participation-measured via technical data captured during intervention administration-appeared to be stronger predictors of improved outcomes than self-reported perceived helpfulness. Results suggest that behavioral and subjective responsiveness measures appear to be valid indicators of treatment response to mHealth interventions for substance use. Responsiveness measured via technical data captured during intervention administration may be a stronger and more efficient strategy for monitoring continued engagement. We discuss implications of these findings for deploying mHealth interventions at scale and monitoring responsiveness.

Cannabis-Related Impairment and Social Anxiety: The Role of Use to Manage Negative and Positive Affect in Social Situations

Background and Objectives: Individuals with elevated social anxiety are thought to be at high risk for developing cannabis-related problems because they use cannabis to cope with anxiety-provoking social situations. Social anxiety is unique among the anxiety conditions in that it is characterized by both elevated negative affect (NA) and lower positive affect (PA). Yet it is unclear whether persons with elevated social anxiety use cannabis to decrease their NA or to increase their PA. Methods: This study examined the role of PA and NA (including cannabis use to increase PA and to decrease NA in social situations) on cannabis use frequency and related problems among current (past three-month) cannabis users (N = 278). Results: Social anxiety was significantly correlated with NA, PA, cannabis use to decrease NA, and use to increase PA. Serial mediation analyses tested the paths between social anxiety, affect, use to manage affect, typical cannabis use frequency, and cannabis use-related problems. Contrary to prediction, social anxiety was not indirectly related to use frequency or related problems via NA or PA generally. Rather, social anxiety was indirectly related to cannabis problems via the serial effect of use to cope with NA and typical use frequency and via the serial effect of use to increase PA and typical use frequency. Conclusions/Importance: Social anxiety may be associated with using cannabis to decrease NA and increase PA specifically in social situations, which increases cannabis use frequency and thus, problem risk.

Online personalized feedback intervention for cannabis-using college students reduces cannabis-related problems among women

There is growing evidence that college cannabis use is associated with use-related problems, yet efforts to reduce cannabis-related problems via online personalized feedback interventions (PFIs) have had limited success in significantly reducing risky cannabis use among college students. However, men and women may respond differently to such interventions and failure to examine effects of gender may obfuscate intervention effects. Thus, the current study tested intervention effects (moderated by gender) of an online, university-specific PFI for high-risk cannabis users (i.e., past-month cannabis users with at least one recent cannabis-related problem) who were randomly assigned to an online PFI (n = 102) or an online personalized normative feedback-only condition (PNF-only; n = 102). Gender moderated the relationship between condition and one-month follow-up problems, such that women in the PFI condition reported fewer cannabis-related problems at follow-up than women in the PNF-only condition. Men in the PFI condition did not significantly differ from men in the PNF-only condition on use-related problems at follow-up. Cannabis PFIs may be efficacious for reducing cannabis use-related problems among undergraduate women (but not men) and women may benefit from online interventions that include problem-focused components.

4/20 Cannabis Use is Greater than Other High-Risk Events: Identification of Psychosocial Factors Related to 4/20 Use

Cannabis is the most commonly used federally illicit drug, yet little research has identified risk factors for high-risk use. Although April 20 (“4/20”) has been identified as a day on which cannabis users use more cannabis than they typically do, it remains unknown whether 4/20 is a high-risk event for greater use than other heavy use days (e.g., other holidays) and whether use on 4/20 is related to greater use-related problems. Such information has important implications for event-specific prevention efforts. Thus, the present study tested whether 4/20 is associated with greater cannabis use than other high-risk cannabis use events (e.g., Spring Break), whether 4/20 cannabis use is associated with event-specific use-related problems and subjective intoxication, and whether event-specific psychosocial factors (i.e., motives, normative beliefs) influence 4/20 use among 68 past-year cannabis using undergraduates who reported using cannabis on 4/20 (in a state where cannabis is legal for medical but not recreational purposes). A majority reported experiencing problems related to their 4/20 use and use was greater on 4/20 than on all other high-risk days. Quantity of 4/20 use was significantly, positively correlated with 4/20 cannabis use-related problems and subjective intoxication. 4/20-specific descriptive norms were a stronger predictor of 4/20 cannabis use and use-related problems than 4/20-specific cannabis use motives whereas 4/20-specific enjoyment motives were stronger predictors of subjective intoxication on 4/20. The current study identifies 4/20 as an especially high-risk cannabis use event and is the first to test psychosocial factors related to 4/20 use and use-related problems. Event-specific descriptive norms and enjoyment motives may be important targets for campus-wide efforts to prevent risky use on this high-use day.

Distress intolerance moderation of neurophysiological markers of response inhibition after induced stress: Relations with cannabis use disorder.

Cannabis use is prevalent but only a minority of regular users develop cannabis use disorder (CUD); thus, CUD risk identification among current cannabis users is vital for targeted intervention development. Existing data suggest that high distress intolerance (DI), an individual difference reflective of the ability to withstand negative affect, is linked to CUD, possibly via stress-elicited impairment of response inhibition but this has never been explicitly tested. Frequent cannabis users with high and low DI completed a go/no-go task during EEG recording before and after a laboratory stressor. Relations between DI, cannabis use-related problems, and behavioral as well as neurophysiological markers of response inhibition functioning were assessed. DI significantly moderated the effect of the stressor on the conflict-monitoring but not evaluative phase of response inhibition as measured by N2 and P3a amplitude, respectively. Unexpectedly, cannabis users with high DI demonstrated stressor-elicited enhancement rather than impairment of conflict-monitoring neural activity, which was related to faster reaction time (RT) and decreased past-month cannabis problems. Enhanced inhibition-related modulation of P3a amplitude was generally associated with increased cannabis problems regardless of acute stress. Results did not provide support for stress-elicited impairment in cognitive control as a mechanism linking high DI and CUD, though some support was found for the relevance of inhibition-related neural activity to CUD. Stress-elicited enhancement of conflict-monitoring neural activity during response inhibition may reflect an adaptive neural response among cannabis users with high DI that protects against CUD in this at-risk group. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Cognitive and Mental Health Predictors of Withdrawal Severity During an Active Attempt to Cut Down Cannabis Use.

A milestone in cannabis research is the establishment of a clinically relevant cannabis withdrawal syndrome, yet little is known about the underlying mechanisms. We investigated the predictive role of mental health and cognitive factors in withdrawal severity during an active attempt to cut down, relative to uninterrupted cannabis use. Ninety heavy cannabis users were randomly assigned to an experimental or control group. The experimental group was asked to cut down substance use for 1 week. Past week substance use, substance use-related problems, depressive symptoms, cravings, and cognitive control were assessed at baseline. Past week substance use and withdrawal severity were assessed at follow-up. The experimental group reduced their cannabis use more and experienced more withdrawal than the control group. Hierarchical regression analysis per predictor indicated that cannabis use-related problems, depressive symptoms, and cannabis craving, but not cognitive control, predicted stronger withdrawal. Craving uniquely predicted withdrawal in the experimental group. A combined hierarchical regression indicated that only depressive symptoms and cannabis use-related problems uniquely predicted withdrawal across groups. These results suggest that depressive symptoms and cannabis use-related problems are generally indicative of cannabis withdrawal severity, whereas craving specifically predicts cannabis withdrawal during an active attempt to cut-down cannabis use.

Transition to drug co-use among adolescent cannabis users: The role of decision-making and mental health

BackgroundCo-use of cannabis and drugs other than cannabis (DOTC) influences the risk of experiencing cannabis disorders. Accordingly, we explored whether speed of transition to drug co-use, the number of DOTC used, and/or being an experimental cannabis-only user, a regular cannabis-only user, or a regular cannabis user who co-uses DOTC (i.e., cannabis-plus user) were associated with decision-making (DM), mental health disorder symptoms, or cannabis use-related characteristics. MethodsWe analyzed baseline data from a sub-sample of 266 adolescent (ages 14 to 16) cannabis users (CU) participating in an ongoing longitudinal study. Assessments included semi-structured interviews, self-report questionnaires, and measures of drug use, DM (measured via the Iowa Gambling Task), mental health disorders, and cannabis use-related problems. ResultsEndorsing a larger number of mood disorders symptoms was associated with being a regular cannabis-plus user rather than a regular cannabis-only user (AOR = 1.08, C.I.95% 1.01, 1.15). Poorer DM was associated with a faster transition to co-use, such that for each one unit increase in DM performance, the years to onset of drug co-use increased by 1% (p = 0.032). Endorsing a larger number of cannabis use-related problems was positively associated with endorsing a larger number of DOTC used (p = 0.001). ConclusionsThis study provides new evidence on the process of drug co-use among CU. Specifically, mood disorder symptoms were associated with use of DOTC among regular CU. Furthermore, poorer DM was associated with a faster transition to drug co-use. Poorer DM and mood disorder symptoms may aggravate or accelerate the onset of adverse consequences among adolescent CU.

Anxiety sensitivity and cannabis use-related problems: The impact of race.

Cannabis is the most widely used illicit substance among young adults. Anxiety sensitivity (AS; ie, fear of anxiety-related symptoms) is positively related to coping motives for cannabis use (which are robustly positively linked to cannabis-related problems). However, AS is unrelated to cannabis use-related problems. Yet, extant studies have been conducted on primarily White samples. It may be that among Black students, AS-physical concerns (ie, fear of physical anxiety-related sensations) are related to cannabis problems given that Black individuals are more likely than White individuals to report experiencing greater and more intense somatic symptoms when experiencing anxiety. Black individuals may rely on cannabis to cope with fear of these somatic symptoms, continuing to use despite cannabis-related problems. The current study tested whether race moderated the relation between AS-physical concerns and cannabis problems among 102 (85.3% female) current cannabis using undergraduates who were either non-Hispanic Black (n = 51) or non-Hispanic White (n = 51). After controlling for frequency of cannabis use, income, and gender, race significantly moderated the relation between AS-physical concerns and cannabis use-related problems such that AS-physical concerns significantly predicted cannabis-related problems among Black and not White individuals. Findings highlight the importance of considering race in identifying psychosocial predictors of cannabis-related problems. Intervention strategies for Black cannabis users may benefit from examining and targeting AS-physical concerns. (Am J Addict 2017;26:209-214).

Cue-induced striatal activity in frequent cannabis users independently predicts cannabis problem severity three years later.

Cannabis is the most frequently used illicit drug worldwide, but little is known about the mechanisms underlying continued cannabis use. Cue-reactivity (the physical, psychological, behavioural and neural reaction to substance-related cues) might be related to continued cannabis use. In this 3-year prospective neuroimaging study we investigated whether cannabis cue-induced brain activity predicted continued cannabis use and associated problem severity 3 years later. In addition, baseline brain activations were compared between dependent and non-dependent cannabis users at follow-up. Analyses were focussed on brain areas known to be important in cannabis cue-reactivity: anterior cingulate cortex, orbitofrontal cortex, ventral tegmental area, amygdala and striatum. At baseline, 31 treatment-naive frequent cannabis users performed a cue-reactivity functional magnetic resonance imaging task. Of these participants, 23 completed the 3-year follow-up. None of the cue-induced region of interest activations predicted the amount of cannabis use at follow-up. However, cue-induced activation in the left striatum (putamen) significantly and independently predicted problem severity at follow-up (p < 0.001) as assessed with the Cannabis Use Disorder Identification Test. Also, clinically dependent cannabis users at follow-up showed higher baseline activation at trend level in the left striatum compared with non-dependent users. This indicates that neural cue-reactivity in the dorsal striatum is an independent predictor of cannabis use-related problems. Given the relatively small sample size, these results are preliminary and should be replicated in larger samples of cannabis users.

Motivational and control mechanisms underlying adolescent cannabis use disorders: A prospective study

Cannabis use disorders (CUDs) are the most prevalent substance use disorders among adolescents in treatment. Yet, little is known about the neuropsychological mechanisms underlying adolescent CUDs. Studies in adult cannabis users suggest a significant role for cognitive control and cannabis-oriented motivational processes, such as attentional bias, approach bias, and craving in CUDs. The current 6-month prospective study investigated the relationships between attentional bias, approach bias, craving, cognitive control, and cannabis use in adolescent patients in treatment for a primary or secondary CUD. Moreover, we investigated if these motivational processes and cognitive control could predict treatment progression after 6 months. Adolescents with a CUD had an attentional but no approach bias towards cannabis. In contrast to adult findings on the role of attentional bias, approach bias and cognitive control, only cannabis craving significantly correlated with current cannabis use and predicted cannabis use-related problems and abstinence from cannabis 6 months later. These findings identify craving as a predictor of treatment outcome, thereby supporting an important role for craving in the course of adolescent cannabis use and dependence. This prospective study is among the first to investigate neuropsychological mechanisms underlying adolescent CUDs, warranting future longitudinal studies.

Individual differences in decision making and reward processing predict changes in cannabis use: a prospective functional magnetic resonance imaging study

Decision-making deficits are thought to play an important role in the development and persistence of substance use disorders. Individual differences in decision-making abilities and their underlying neurocircuitry may, therefore, constitute an important predictor for the course of substance use and the development of substance use disorders. Here, we investigate the predictive value of decision making and neural mechanisms underlying decision making for future cannabis use and problem severity in a sample of heavy cannabis users. Brain activity during a monetary decision-making task (Iowa gambling task) was compared between 32 heavy cannabis users and 41 matched non-using controls using functional magnetic resonance imaging. In addition, within the group of heavy cannabis users, associations were examined between task-related brain activations, cannabis use and cannabis use-related problems at baseline, and change in cannabis use and problem severity after a 6-month follow-up. Despite normal task performance, heavy cannabis users compared with controls showed higher activation during wins in core areas associated with decision making. Moreover, within the group of heavy cannabis users, win-related activity and activity anticipating loss outcomes in areas generally involved in executive functions predicted change in cannabis use after 6 months. These findings are consistent with previous studies and point to abnormal processing of motivational information in heavy cannabis users. A new finding is that individuals who are biased toward immediate rewards have a higher probability of increasing drug use, highlighting the importance of the relative balance between motivational processes and regulatory executive processes in the development of substance use disorders.

The association between distress tolerance and cannabis use-related problems: The mediating and moderating roles of coping motives and gender

Recent research has linked distress intolerance to a greater incidence of cannabis use-related problems. Additionally, individuals reporting coping motives for cannabis use might be particularly vulnerable to use-related problems, and tendencies to use coping motives may be influenced by gender. The current study sought to extend the literature by examining the role of distress tolerance on cannabis use-related problems and the potential influences of coping motives for use and gender. Participants were 118 cannabis-using adults (Mage=29.84). As hypothesized, highly distress intolerant individuals reported more cannabis-use related problems. Further, coping motives mediated the relationship between distress tolerance and cannabis use-related problems, and this effect was more powerful for women than for men. The current study adds to our understanding of the impact of distress tolerance and problematic patterns of cannabis use.