Revising the Cannabis Use Disorders Identification Test (CUDIT) by means of Item Response Theory

Screening for cannabis use disorder among young adults: Sensitivity, specificity, and item-level performance of the Cannabis Use Disorders Identification Test - Revised

The Cannabis Use Disorders Identification Test Revised (CUDIT-R) is a widely used screening tool. However, its utility in screening for cannabis use disorder (CUD) among young adults requires further investigation. The current study evaluated the accuracy of the CUDIT-R in distinguishing between young adults with and without CUD. We also examined the individual item properties of the CUDIT-R in this sample. A community sample of young adults (N = 153, ages 19-26 years) who reported at least one lifetime period of regular cannabis use (i.e., twice or more per month for at least six months) completed the CUDIT-R and the Structured Clinical Interview for DSM-5 (SCID-5) Substance Use Module. The CUDIT-R showed good accuracy in distinguishing between young adults with and without CUD as determined by the SCID-5 (area under the receiver operating characteristic curve = 0.84). A cut-point of nine yielded 87.80 % sensitivity and 70.42 % specificity, with positive and negative predictive values of 77.42 % and 83.33 %, respectively. Item response theory analyses revealed that CUDIT-R items assessing impaired control, failure to meet expectations, time devoted to use, and memory and concentration problems displayed high discrimination and were relatively difficult, whereas items assessing frequency of use and attempts to reduce use showed moderate discrimination and relatively low difficulty. Items assessing hours high and use with potential for physical hazard displayed poor discrimination. The CUDIT-R appears to validly distinguish between young adults with and without CUD and may be useful in screening for CUD in this high-risk population. Further research considering individual item properties is needed to refine the CUDIT-R for use among young adults.

Can severity of substance use be measured across drug classes? Estimating differential item functioning by drug class in two general measures of substance use severity

BACKGROUND

Substance use severity is frequently measured using generic (i.e., non-drug specific) items. Yet, the measurement properties of these items must be evaluated for measurement invariance across inidividuals who use differing substances to ensure total scores can be compared across groups.

METHOD

This study used data from two independent samples (n1 = 474; n2 = 5183) and two measures of general substance use severity with generic items, the Patient Reported Outcomes Measurement Information System (PROMIS) Severity of Substance Use and DAST-10, to examine for differential item functioning (DIF) across substances (i.e., sedatives, opioids, amphetamines, cocaine, and cannabis). We utilized moderated nonlinear factor analysis to estimate DIF. Finally, we compared factor scores across estimation methods with and without accounting for DIF to examine the impact of DIF.

RESULTS

A minority of items showed statistically significant DIF in each scale (Items with DIF: PROMIS Sample 1: 5/37; PROMIS Sample 2: 7/20; DAST-10 Sample 2: 3/10). Factor scores across scoring methods showed extremely high correlations (0.994 - 0.999), estimates of mean differences across substance groups did not vary considerably across scoring methods, but measurement differences were correlated with factor scores.

DISCUSSION

These findings suggest that these two measures of substance use severity can be used across individuals using different substances. Factor scores appear similar across scoring methods and mean differences do not appear to be substantially biases. Measures with generic items may offer a parsimonious alternative to measures with drug specific items but more research is needed to evaluate the robustness of these findings.

Problematic Use of Cannabis in Cotonou: Profile of Some Subjects Received in the Laboratory between 2016 and 2021

Aims

The frequent use of cannabis by certain social strata often induces behavioral changes whose severity deserves to be evaluated. This study aims to describe the profile of some subjects in a situation of cannabis dependence received at the National Laboratory of Narcotics and Toxicology over the period from January 2016 to December 2021. Methodology. The approach of direct interviews with the respondents using a semistructured questionnaire made it possible to collect their sociodemographic characteristics, their experiences, and their reference trajectories.

Results

A total of 48 patients, all single, with an average age of 18.13 ± 0.48 years, the majority of whom were male (77.08%) and of Beninese nationality (85.42%), were enrolled. They were pupils (58.34%), students (27.08%), and workers (14.58%). With a prevalence of consumption of 89.58%, the first experimentation of cannabis was done by imitation (83.3%), among friends (81.2%), and in schools (64.58%). The reasons for use include the search for thrills (29.20%) and the improvement of sexual energy performance (27.1%). Subjects between 64.58 and 79.17% reported having received complaints about their behavior after regular consumption of at least 3 joints of cannabis.

Conclusion

The knowledge of the typical profile of subjects in a situation of dependence ensures early detection of problematic uses of cannabis and offers the opportunity to intervene a little earlier in front of this phenomenon.

Impulsivity, Depressive Mood, and Cannabis Use in a Representative Sample of French-Speaking Swiss Young Men

Cannabis is the most popular psychoactive substance under international regulations, with more than 192 million users worldwide. It has been associated with an addictive pattern of use and negative social and health-related outcomes in a subgroup of users. Consequently, understanding the individual differences that contribute to cannabis use and problematic use is of much importance. The current study examined the impact of impulsivity traits (negative urgency, positive urgency, lack of premeditation, lack of perseverance, sensation seeking), delay reward discounting, and depressive mood on cannabis use status during the past 6 months as well as problematic use of cannabis in a representative sample of 635 French-speaking Swiss young men recruited during their conscription in a Swiss national military recruitment center. Binary logistic and multiple linear regressions indicated that cannabis use status was significantly associated with greater depressive mood, elevated sensation seeking, and lack of perseverance, whereas problematic cannabis use was significantly related to higher depressive mood and steeper delay reward discounting. The present study highlights the importance of emotional symptoms in cannabis use and misuse. Our results also shed light on the potential psychological processes related to problematic consumption of cannabis and open avenues for preventive actions and psychological interventions that target problematic use of cannabis.

CANreduce-SP-adding psychological support to web-based adherence-focused guided self-help for cannabis users: study protocol for a three-arm randomized control trial

BACKGROUND

Cannabis is the most-frequently used illicit drug in Europe. Over the last few years in Spain, treatment demand has increased, yet most cannabis users do not seek treatment despite the related problems. A web-based self-help tool, like CANreduce 2.0, could help these users to control their consumption.

METHODS

This study protocol describes a three-arm randomized controlled trial (RCT) comparing the effectiveness of three approaches, in terms of reducing cannabis use among problematic cannabis users, the first two treatment arms including the Spanish version of CANreduce 2.0 (an adherence-focused, guidance-enhanced, web-based self-help tool) (1) with and (2) without psychological support; and the third group (3) treatment as usual (TAU). Study hypotheses will be tested concerning the primary outcome: change in the number of days of cannabis use over the previous week, comparing assessments at 6 weeks and 3 and 6 months follow-up between groups and against baseline. Secondary outcomes related to cannabis use will be tested similarly. Mental disorders will be explored as predictors of adherence and outcomes. Analyses will be performed on an intention-to-treat basis, then verified by complete case analyses.

DISCUSSION

This study will test how effective the Spanish version of CANreduce 2.0 (CANreduce-SP) is at reducing both the frequency and quantity of cannabis use in problematic users and whether adding psychological support increases its effectiveness.

TRIAL REGISTRATION

This trial is registered with the Clinical Trials Protocol Registration and Results System (PRS) number: NCT04517474 . Registered 18 August 2020, (Archived by archive.is https://archive.is/N1Y64 ). The project commenced in November 2020 and recruitment is anticipated to end by November 2022.

Comparing a mindfulness- and CBT-based guided self-help Internet- and mobile-based intervention against a waiting list control condition as treatment for adults with frequent cannabis use: a randomized controlled trial of CANreduce 3.0

BACKGROUND

Though Internet- and mobile-based interventions (IMIs) and mindfulness-based interventions (generally delivered in-situ) appear effective for people with substance use disorders, IMIs incorporating mindfulness are largely missing, including those targeting frequent cannabis use.

METHODS

This paper details the protocol for a three-arm randomized controlled trial comparing a mindfulness-based self-help IMI (arm 1) and cognitive-behavioral therapy (CBT)-based self-help IMI (arm 2) versus being on a waiting list (arm 3) in their effectiveness reducing cannabis use in frequent cannabis users. Predictors of retention, adherence and treatment outcomes will be identified and similarities between the two active intervention arms explored. Both active interventions last six weeks and consist of eight modules designed to reduce cannabis use and common mental health symptoms. With a targeted sample size of n = 210 per treatment arm, data will be collected at baseline immediately before program use is initiated; at six weeks, immediately after program completion; and at three and six months post baseline assessment to assess the retention of any gains achieved during treatment. The primary outcome will be number of days of cannabis use over the preceding 30 days. Secondary outcomes will include further measures of cannabis use and use of other substances, changes in mental health symptoms and mindfulness, client satisfaction, intervention retention and adherence, and adverse effects. Data analysis will follow ITT principles and primarily employ (generalized) linear mixed models.

DISCUSSION

This RCT will provide important insights into the effectiveness of an IMI integrating mindfulness to reduce cannabis use in frequent cannabis users.

TRIAL REGISTRATION

International Standard Randomized Controlled Trial Number Registry: ISRCTN14971662 ; date of registration: 09/09/2021.

CANreduce 2.0 Adherence-Focused Guidance for Internet Self-Help Among Cannabis Users: Three-Arm Randomized Controlled Trial

Background

Despite increasing demand for treatment among cannabis users in many countries, most users are not in treatment. Internet-based self-help offers an alternative for those hesitant to seek face-to-face therapy, though low effectiveness and adherence issues often arise.

Objective

Through adherence-focused guidance enhancement, we aimed to increase adherence to and the effectiveness of internet-based self-help among cannabis users.

Methods

From July 2016 to May 2019, cannabis users (n=775; male: 406/575, 70.6%, female: 169/575, 29.4%; age: mean 28.3 years) not in treatment were recruited from the general population and were randomly assigned to (1) an adherence-focused guidance enhancement internet-based self-help intervention with social presence, (2) a similar intervention with an impersonal service team, and (3) access to internet as usual. Controls who were placed on a waiting list for the full intervention after 3 months underwent an assessment and had access to internet as usual. The primary outcome measurement was cannabis-use days over the preceding 30 days. Secondary outcomes included cannabis-dependence severity, changes in common mental disorder symptoms, and intervention adherence. Differences between the study arms in primary and secondary continuous outcome variables at baseline, posttreatment, and follow-up were tested using pooled linear models.

Results

All groups exhibited reduced cannabis-use days after 3 months (social presence: –8.2 days; service team: –9.8 days; internet as usual: –4.2 days). The participants in the service team group (P=.01, d=.60) reported significantly fewer cannabis-use days than those in the internet as usual group; the reduction of cannabis use in the social presence group was not significant (P=.07, d=.40). There was no significant difference between the 2 intervention groups regarding cannabis-use reduction. The service team group also exhibited superior improvements in cannabis-use disorder, cannabis-dependence severity, and general anxiety symptoms after 3 months to those in the internet as usual group.

Conclusions

The adherence-focused guidance enhancement internet-based self-help intervention with an impersonal service team significantly reduced cannabis use, cannabis-use disorder, dependence severity, and general anxiety symptoms.

Trial Registration

ISRCTN Registry ISRCTN11086185; http://www.isrctn.com/ISRCTN11086185

Cannabis use disorder trajectories and their prospective predictors in a large population-based sample of young Swiss men

BACKGROUND AND AIMS

Cannabis use disorder (CUD) is frequent in adolescence and often goes into remission towards adulthood. This study aimed to estimate trajectories of CUD severity (CUDS) in Swiss men aged from 20 to 25 years and to identify prospective predictors of these trajectories.

DESIGN

Latent class growth analysis of self-reported CUDS in a cohort study with three data collection waves.

SETTING

A general population sample of young Swiss men.

PARTICIPANTS

A total of 5987 Swiss men assessed longitudinally at the mean ages of 20, 21.5 and 25 years.

MEASUREMENTS

Latent CUDS in the last 12 months was measured at each wave with the Cannabis Use Disorders Identification Test-Revised (CUDIT-R). Predictors of CUDS trajectories, measured at age 20, were from six domains: factors related to cannabis use, family, peers, other substance use, mental health and personality.

FINDINGS

We distinguished four CUDS trajectories: stable-low (88.2%), decreasing (5.2%), stable-high (2.6%) and increasing (4.0%). Predictors were generally associated with higher odds of membership in the decreasing and stable-high trajectory (versus the stable-low), and to a lesser degree with higher odds of membership in the increasing trajectory. Bivariate predictors of persistent high CUDS (stable-high versus decreasing trajectory) were major depression severity [odds ratio (OR) = 1.19, 95% confidence interval (CI) = 1.01, 1.40], attention deficit hyperactivity disorder severity (OR = 1.25, 95% CI = 1.04, 1.51), antisocial personality disorder severity (OR = 1.18, 95 % CI = 1.04, 1.34), relationship with parents (OR = 0.74, 95% CI = 0.63, 0.88), number of friends with drug problems (OR = 1.33, 95% CI = 1.11, 1.60) and the personality dimensions neuroticism-anxiety (OR = 1.35, 95% CI = 1.11, 1.65) and sociability (OR = 0.78, 95% CI = 0.62, 0.97).

CONCLUSIONS

Factors associated with persistent cannabis use disorder in young Swiss men include cannabis use, cannabis use disorder severity, mental health problem severity, relationship with parents (before the age of 18), peers with drug problems and the personality dimensions neuroticism-anxiety and sociability at or before age 20. Effect sizes may be small, and predictors are mainly associated with persistence via higher severity at age 20 years.

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.

Cannabis Marketing and Problematic Cannabis Use Among Adolescents

OBJECTIVE

Health consequences of commercializing nonmedical cannabis remain unclear, but data suggest that youth may encounter unintended risks. This study examined whether cannabis marketing exposure and engagement are associated with problematic cannabis use among adolescents.

METHOD

The analytic sample included 172 lifetime cannabis users (15-19 years old) who lived in one of six states with legalized nonmedical cannabis in 2018. Predictors included having exposure to or engagement with cannabis marketing on Facebook or Instagram, seeing cannabis billboards, owning/likely to own cannabis-branded merchandise, and reporting a favorite cannabis brand. Logistic regression assessed whether these predictors were associated with weekly cannabis use, high-intensity cannabis use, and cannabis use disorder (CUD).

RESULTS

Adolescents who saw billboards rarely/sometimes had 5 times the odds of CUD, whereas youth who saw them most/all of the time had 7 times the odds of weekly use and 6 times the odds of CUD. Adolescents who owned/were likely to own branded merchandise had nearly 23 times the odds of weekly use, and those with a favorite brand had 3 times the odds of weekly use and CUD. Adolescents who reported seeing promotions on Instagram rarely/sometimes had 85% lower odds of weekly use, and those who saw them most/all of the time had 93% lower odds.

CONCLUSIONS

The ways cannabis businesses market their products, especially branding, may affect patterns of underage cannabis use. Future research should test whether these associations persist in longitudinal designs. In the interim, states should consider an approach that offers youth additional means to protect them from cannabis marketing.

Curvilinear associations between sexual orientation and problematic substance use, behavioural addictions and mental health among young Swiss men

BACKGROUND AND AIMS

It is well documented that individuals with a minority sexual orientation face greater risks of problematic substance use (e.g. heavy episodic drinking, alcohol use disorder) and mental health problems. Far less is known about how that risk varies within this population and their risk of behavioural addictions. This study estimated the risks of problematic substance use, behavioural addiction and poor mental health across the spectrum of sexual orientation.

SAMPLE AND METHOD

A sample of young Swiss men (N = 5294; mean age = 25.5, SD = 1.25; representative of 21 of Switzerland's 26 cantons) completed a self-reporting questionnaire on sexual orientation (attraction, 5-point scale) and criterion variables: problematic substance use (e.g. alcohol, cigarettes, cannabis and other illegal drugs), behavioural addictions (gambling, gaming, cybersex, internet, smartphone, work, exercise) and indicators of mental health (e.g. depression, stress). Curvilinear associations between sexual orientation (heterosexual, mostly-heterosexual, bisexual, mostly-homosexual or homosexual individuals) and criterion variables were explored using fractional polynomial regressions.

RESULTS

Although there were differences across criterion variables, in general, the highest risks of problematic substance use, behavioural addictions and mental health problems were estimated for mostly-heterosexual, bisexual or mostly-homosexual men, followed by homosexual men, and with heterosexual men facing the lowest risk.

DISCUSSION AND CONCLUSION

Aggregating the spectrum of sexual orientations into two or three distinct groups blurs important internal group differences. Outcome-specific explanations beyond minority stress and biphobia are necessary to understand the pathways between sexual orientation and risky behaviours. Considering sexual orientation is important to provide targeted healthcare prevention and interventions.

Online Gambling's Associations With Gambling Disorder and Related Problems in a Representative Sample of Young Swiss Men

Background and Aims: Internet gambling has recently grown in popularity, but relatively little is known about how online and the combination of online and offline (mixed) gambling are associated with gambling disorder (GD) and related problems. The present research examined in a cohort study sample of young Swiss men how their gambling activities and gambling-related problems differed across the spectrum from offline to online gambling. Sample: A general-population based sample from the Cohort Study on Substance Use Risk Factors (C-SURF), consisting of 5,352 young Swiss men (mean age 28.26 years old). Measures: The spectrum from exclusively offline to almost exclusively online (>90% of gambling money spent online) gambling was measured using one question about the proportion of gambling money spent online. Total money gambled and time spent on gambling were also assessed. GD severity (range 0-9) was measured using items reflecting the nine DSM-5 GD criteria. The number of gambling-related problems (e.g., financial difficulties, range 0-10), other addictive disorders and mental health problems were also inquired about. Methods: We estimated a generalised linear model using a count model (negative binomial link function) for GD severity and gambling-related problems associated with the amounts and proportions of money gambled online and offline. Results: The number of GD criteria were associated with money gambled online (IRR [95%CI] = 2.81 [2.43, 3.24]) and offline (IRR = 2.68 [2.40, 3.00]). This was also found for the number of gambling-related problems (IRR = 2.43 [2.13, 2.79] and IRR = 2.89 [2.59, 3.23]). Compared with exclusively-offline gamblers, mixed gamblers (26-90% of money gambled online) showed the highest levels of GD symptoms and gambling-related problems, followed by the almost-exclusively-online gamblers (≥91% money gambled online) and, overall, these associations were still significant after adjustment for overall involvement in gambling (time spent and money gambled). Levels of other addictive disorders and mental health problems were higher among mixed gamblers than among offline-only gamblers, but levels among almost-exclusively-online gamblers were not. Conclusions: Symptoms of gambling disorder and gambling related problems are highest among gamblers engaging in both offline and online gambling. Prevention efforts need to target the combination of offline and online gambling.

CANreduce 2.0: Reduzierung des Cannabiskonsums unter Berücksichtigung von psychischen Komorbiditäten wie der Generalisierten Angststörung – Zwei Fliegen auf einen Schlag?

Ziel der Studie Zahlreiche Studien weisen auf ein breites Spektrum häufig gleichzeitig auftretender psychischer Störungen wie jene der Generalisierten Angststörung bei der Behandlung von Personen mit Cannabiskonsumstörungen hin (GAD). Bisherige Internet-basierte Studien konnten zwar vereinzelt die Reduktion von Cannabiskonsum zeigen, berücksichtigten aber keine komorbide Störungen. Ziel des E-Coach gestützten Online-Selbsthilfeprogramm CANreduce 2.0 ist die Reduzierung des Cannabiskonsums und der gegebenenfalls vorhandenen GAD.

Methodik Sekundäranalyse der in der Allgemeinbevölkerung rekrutierten Cannabiskonsumierenden der CANreduce 2.0 Studie der beiden aktiven Interventionsgruppen (N=367). Für die Analysen wurden diese Teilnehmende aufgrund ihres erreichten Symptomatik-Wertes der General Anxiety Disorder Scale (GAD-7) in 4 Gruppen eingeteilt: Minimale (GAD-7 Werte: 0–4; N=102), Milde (5–9; N=151), Moderate (10–14; N=78) und Schwere (15–21; N=36) Angststörung und anschliessend ihre Behandlungsverläufe mittels Intention-to-Treat Analysen bezüglich ihrer Cannabiskonsumtage und ihrer Werte auf dem Cannabis Use Disorder Identification Test (CUDIT), der Severity of Dependence Scale (SDS), der GAD-7, der Center of Epidemiologic Studies of Depression Scale (CES-D) sowie bezüglich ihrer Adhärenz verglichen.

Ergebnisse Alle 4 Gruppen reduzierten unabhängig von ihrer GAD-Symptomatik die Anzahl ihrer Cannabiskonsumtage, ihren CUDIT und SDS Score sowohl 6 Wochen als auch 3 Monate nach der Baselineerhebung. Weiter haben mit Ausnahme von der minimalen GAD-7-Gruppe alle Gruppen eine Reduktion der Angstsymptomatik nach 3 Monaten aufgewiesen. Analog zeigten mit Ausnahme der minimalen GAD-7-Gruppe alle GAD-7-Gruppen eine deutliche Reduktion in der depressiven Symptomatik. Bezüglich der gemessenen Adhärenz zeigten sich keine Unterschiede zwischen den GAD-7-Gruppen.

Schlussfolgerungen CANreduce 2.0 scheint sowohl den Cannabiskonsum, die Ausprägung der Cannabiskonsumstörung bzw. die Cannabisabhängigkeit wie auch eine gegebenenfalls vorhandene GAD-Symptomatik zu reduzieren.

Marijuana and the hippocampus: A longitudinal study on the effects of marijuana on hippocampal subfields

The psychoactive effects of cannabis, one of the most commonly used narcotics, have been documented extensively. Despite multiple studies being undertaken, there have been only a few longitudinal studies investigating the effect of long term usage of cannabis on various subcortical structures. This study aims at looking deeper into the effects of long term usage of cannabis on different hippocampus subfields.² Participants were split into two groups, cannabis users and healthy controls. All the test subjects filled out the Cannabis Usage and Disorder Identification Test (CUDIT) and underwent T1-structural MRI scans twice, at a baseline and a followup 3 years later. The subfield volumes were measured using the software package Freesurfer with the LongitudinalHippocampalSubfields (v6.0) Module. Lifetime usage in grams was calculated for each participant until baseline and followup, independently, using linear interpolation. Usage of cannabis (lifetime consumption score) was correlated to increased volumes in certain subfields: the CA3 and CA4 in the right hemisphere and the presubiculum in both, the left and right hemispheres at baseline. Other tests including student's t-test and multivariate analysis of covariance were performed. Tests to understand the effects of varying consumption were also performed. Persistent usage of cannabis, however, did not result in atrophy of the subfields over time. Rather, there were lower growth rates observed in the healthy controls group as compared to that of the cannabis users in certain subfields.

Comparing cannabis use motive item performance between American Indian and White youth

OBJECTIVE

There is limited research on the motives for engaging in cannabis use for American Indian (AI) youth. The purpose of this study was to explore the differences in cannabis use motives between White and AI youth.

METHOD

This study used data from youth living on or near reservations who currently use cannabis and identify as White (n = 156) or AI (n = 922). Students completed a survey containing a measure of cannabis use motives that included coping, recreation, and expansion motives. Eight items, four coping and four recreational/expansion, were evaluated using Item Response Theory. Multi-group analyses were conducted to assess the differences in item functioning between White and AI youth.

RESULTS

Three of the four items in the four-item coping model and four items in the recreational/enhancement model exhibited meaningful differential item functioning (DIF). Results suggest that AI youth were more likely to endorse coping reasons for use while White youth were more likely to endorse recreational/expansion reasons for use.

CONCLUSIONS

This study provides preliminary evidence that AI and White youth meaningfully differ in their likelihood to endorse coping, recreational, and expansion reasons for cannabis use. These findings highlight the importance of attending to differences between AI and White youth substance use motives, especially when developing culturally competent intervention and prevention strategies.

Bed-Sharing in Couples Is Associated With Increased and Stabilized REM Sleep and Sleep-Stage Synchronization

BACKGROUND/OBJECTIVES

Sharing the bed with a partner is common among adults and impacts sleep quality with potential implications for mental health. However, hitherto findings are contradictory and particularly polysomnographic data on co-sleeping couples are extremely rare. The present study aimed to investigate the effects of a bed partner's presence on individual and dyadic sleep neurophysiology.

METHODS

Young healthy heterosexual couples underwent sleep-lab-based polysomnography of two sleeping arrangements: individual sleep and co-sleep. Individual and dyadic sleep parameters (i.e., synchronization of sleep stages) were collected. The latter were assessed using cross-recurrence quantification analysis. Additionally, subjective sleep quality, relationship characteristics, and chronotype were monitored. Data were analyzed comparing co-sleep vs. individual sleep. Interaction effects of the sleeping arrangement with gender, chronotype, or relationship characteristics were moreover tested.

RESULTS

As compared to sleeping individually, co-sleeping was associated with about 10% more REM sleep, less fragmented REM sleep (p = 0.008), longer undisturbed REM fragments (p = 0.0006), and more limb movements (p = 0.007). None of the other sleep stages was significantly altered. Social support interacted with sleeping arrangement in a way that individuals with suboptimal social support showed the biggest impact of the sleeping arrangement on REM sleep. Sleep architectures were more synchronized between partners during co-sleep (p = 0.005) even if wake phases were excluded (p = 0.022). Moreover, sleep architectures are significantly coupled across a lag of ± 5min. Depth of relationship represented an additional significant main effect regarding synchronization, reflecting a positive association between the two. Neither REM sleep nor synchronization was influenced by gender, chronotype, or other relationship characteristics.

CONCLUSION

Depending on the sleeping arrangement, couple's sleep architecture and synchronization show alterations that are modified by relationship characteristics. We discuss that these alterations could be part of a self-enhancing feedback loop of REM sleep and sociality and a mechanism through which sociality prevents mental illness.

Latent profiles of family background, personality and mental health factors and their association with behavioural addictions and substance use disorders in young Swiss men

Background:

Recent theories suggest that behavioural addictions and substance use disorders may be the result of the same underlying vulnerability. The present study investigates profiles of family background, personality and mental health factors and their associations with seven behavioural addictions (to the internet, gaming, smartphones, internet sex, gambling, exercise and work) and three substance use disorder scales (for alcohol, cannabis and tobacco).

Methods:

The sample consisted of 5287 young Swiss men (mean age = 25.42) from the Cohort Study on Substance Use Risk Factors (C-SURF). A latent profile analysis was performed on family background, personality and mental health factors. The derived profiles were compared with regards to means and prevalence rates of the behavioural addiction and substance use disorder scales.

Results:

Seven latent profiles were identified, ranging from profiles with a positive family background, favourable personality patterns and low values on mental health scales to profiles with a negative family background, unfavourable personality pattern and high values on mental health scales. Addiction scale means, corresponding prevalence rates and the number of concurrent addictions were highest in profiles with high values on mental health scales and a personality pattern dominated by neuroticism. Overall, behavioural addictions and substance use disorders showed similar patterns across latent profiles.

Conclusion:

Patterns of family background, personality and mental health factors were associated with different levels of vulnerability to addictions. Behavioural addictions and substance use disorders may thus be the result of the same underlying vulnerabilities.

Unique versus shared associations between self-reported behavioral addictions and substance use disorders and mental health problems: A commonality analysis in a large sample of young Swiss men

BACKGROUND AND AIMS

Behavioral addictions (BAs) and substance use disorders (SUDs) tend to co-occur; both are associated with mental health problems (MHPs). This study aimed to estimate the proportion of variance in the severity of MHPs explained by BAs and SUDs, individually and shared between addictions.

METHODS

A sample of 5,516 young Swiss men (mean = 25.47 years old; SD = 1.26) completed a self-reporting questionnaire assessing alcohol, cannabis, and tobacco use disorders, illicit drug use other than cannabis, six BAs (Internet, gaming, smartphone, Internet sex, gambling, and work) and four MHPs (major depression, attention-deficit hyperactivity disorder, social anxiety disorder, and borderline personality disorder). Commonality analysis was used to decompose the variance in the severity of MHPs explained (R²) by BAs and SUDs into independent commonality coefficients. These were calculated for unique BA and SUD contributions and for all types of shared contributions.

RESULTS

BAs and SUDs explained between a fifth and a quarter of the variance in severity of MHPs, but individual addictions explained only about half of this explained variance uniquely; the other half was shared between addictions. A greater proportion of variance was explained uniquely or shared within BAs compared to SUDs, especially for social anxiety disorder.

CONCLUSIONS

The interactions of a broad range of addictions should be considered when investigating their associations with MHPs. BAs explain a larger part of the variance in MHPs than do SUDs and therefore play an important role in their interaction with MHPs.

Patterns of Cannabis Consumption, Social Networks, and Foraging

This study considered contextual factors (i.e., times, places, peers) associated with cannabis use. A total of 153 participants answered an anonymous online survey, completed the Cannabis Use Disorders Identification Test – Revised (CUDIT-R), and indicated their numbers of regular smoking partners, and times and places cannabis was normally purchased. Recent cannabis smokers had higher CUDIT-R scores and purchased cannabis from more places more often. Multiple regression considered subscales of the CUDIT-R. Greater cannabis consumption was associated with more smoking partners and purchases of cannabis at more times and places. Cannabis dependence was associated with cannabis purchases from more places and times and reports that there were more people prepared to do them favors. Harmful use was associated with more purchases at more locations. Patterns of cannabis foraging were compared with foraging behaviors previously observed for caffeine, nicotine, and alcohol. The data could inform the development and use of social media and location-aware services seeking to target risky substance use.

[Position paper on medical cannabis and cannabis-based medicines in pain medicine]

Since March 2017, the prescription of medical cannabis at the expense of the statutory health insurance is possible after approval by the respective medical services. Chronic pain is the most common indication, as health claims data and the accompanying survey show. From the point of view of the law, a prescription is indicated in cases of serious illness, missing or not indicated established therapeutic approaches and a not entirely remote prospect of improvement of the illness or its symptoms. This describes a broader indication spectrum than can currently be based on randomised controlled clinical trials. There is weak evidence of low efficacy for neuropathic pain. For pain related to spasticity and cancer-related pain there is evidence of improvements in quality of life, but effects on pain are of little relevance. For all other indications, only an individual therapeutic trial can be justified based on the available external evidence. However, this usually corresponds to the demand of "a not entirely remote prospect" of a noticeably positive effect of medical cannabis. It is also problematic that almost no long-term studies for the application and efficacy of flowers and extracts are available.Current knowledge on the use of cannabis-based drugs and, more clearly, medical cannabis for chronic pain is insufficient. The increase in the number of countries with marketing authorisations or exemptions for medicinal cannabis or cannabis-based drugs for chronic pain will also pave the way for larger empirical and population-based studies that will further improve the evidence base of research and clinical use.

Reconsidering the associations between self-reported alcohol use disorder and mental health problems in the light of co-occurring addictions in young Swiss men

BACKGROUND

Alcohol use disorder (AUD) is known to co-occur with other addictions, as well as with mental health problems. However, the effects of other addictions co-occurring with AUD on mental health problems were rarely studied and not considering them may bias estimates of the association between AUD and mental health problems. This study investigated which role co-occurring addictions play for the cross-sectional associations between self-reported AUD and mental health problems.

METHOD

Participants were 5516 young Swiss men (73.0% of those that gave written informed consent) who completed a self-report questionnaire. Using short screening questionnaires, we assessed three substance use disorders (alcohol, cannabis and tobacco), seven behavioural addictions (internet, gaming, smartphone, internet sex, gambling, work, exercise) and four mental health problems (major depression, bipolar disorder, attention deficit hyperactivity disorder (ADHD) and social anxiety disorder). Differences in the proportions of mental health problems were tested using logistic regressions between (1) participants with no AUD and AUD, (2) participants with no AUD and AUD alone and (3) participants with no AUD and AUD plus at least one co-occurring addiction.

RESULTS

Overall, (1) participants with AUD had higher proportions of major depression (Odds ratio (OR [95% confidence interval]) = 3.51 [2.73, 4.52]; ADHD (OR = 3.12 [2.41, 4.03]); bipolar disorder (OR = 4.94 [3.38, 7.21]) and social anxiety (OR = 2.21 [1.79, 2.73])) compared to participants with no AUD. Considering only participants with AUD alone compared to participants with no AUD (2), differences in proportions were no longer significant for major depression (OR = 0.83 [0.42, 1.64]), bipolar disorder (OR = 1.69 [0.67, 4.22]), social anxiety (OR = 1.15 [0.77, 1.73]) and ADHD (OR = 1.65 [1.00, 2.72]) compared to participants with no AUD. In contrast, (3) proportions of mental health problems were considerably higher for participants with AUD plus at least one other addiction when compared to participants with no AUD, with OR's ranging from 2.90 [2.27, 3.70] for social anxiety, 4.03 [3.02, 5.38] for ADHD, 5.29 [4.02, 6.97] for major depression to 6.64 [4.44, 9.94] for bipolar disorder.

CONCLUSIONS

AUD was associated with all four measured mental health problems. However, these associations were mainly due to the high proportions of these mental health problems in participants with AUD plus at least one co-occurring addiction and only to a lesser degree due to participants with AUD alone (i.e. without any other co-occurring addictions). Hence, estimates of the association between AUD and mental health problems that do not consider other addictions may be biased (i.e. overestimated). These findings imply that considering addictions co-occurring with AUD, including behavioural addictions, is important when investigating associations between AUD and mental health problems, and for the treatment of AUD and co-morbid disorders.

Cannabis, Decision-Making, and Online Assistance Seeking

BACKGROUND AND OBJECTIVES

Maladaptive decision-making strategies could contribute to cannabis-related problems, as some individuals may neither select safe patterns of cannabis use, nor seek treatment.

METHODS

To explore decision-making styles and their relationship to cannabis-related harm, 153 respondents completed the Cannabis Use Disorders Identification Test-Revised (CUDIT-R), the Melbourne Decision Making Questionnaire (MDMQ), and answered questions about their willingness to seek online: (1) further information or (2) treatment for cannabis-related issues.

RESULTS

Multiple regression considered relationships between problematic cannabis use, decision-making style, and cannabis use within the past month. Subscales of the CUDIT-R revealed that: (1) hazardous use was associated with higher hypervigilance and higher decisional self-esteem; (2) dependence symptoms were associated with lower vigilance and higher procrastination; and (3) harmful use was associated with higher procrastination. People with symptoms of CUD were less likely to seek further help or support online if prone to procrastination or buckpasssing.

DISCUSSION AND CONCLUSIONS

Decisional style influenced cannabis use and symptoms. Those people with cannabis-related problems that did not seek online assistance were defensively avoidant.

SCIENTIFIC SIGNIFICANCE

Procrastination is a feature of problematic cannabis use. Online offers of assistance may be ignored by defensively avoidant CUD clients. (Am J Addict 2019;00:1-7).

Adult attention-deficit/hyperactivity disorder, risky substance use and substance use disorders: a follow-up study among young men

We investigated whether adult attention-deficit/hyperactivity disorder (ADHD) predicts risky substance use and substance use disorders (SUDs), and its impact on the course of these problematic substance use patterns. Our sample included 4975 Swiss men (mean age 20 ± 1.2 years) who participated in the baseline and 15-month follow-up assessments of the Cohort Study on Substance Use Risk Factors. We examined: (1) the contribution of ADHD, as assessed at baseline, on the risky use of alcohol, nicotine and cannabis, and their corresponding use disorders (AUD, NUD, CUD) at follow-up; and (2) the association between ADHD and the course of outcomes (i.e., absence, initiation, maturing out, persistence) over 15 months. All analyses were adjusted for socio-demographics and co-morbidity. Men with ADHD were more likely to exhibit persistent risky alcohol and nicotine use, and to mature out of risky cannabis use. ADHD at baseline was positively linked to AUD and negatively to CUD at follow-up, but not to NUD. For all SUDs, ADHD had a positive association with use persistence and maturing out. Comparing these two trajectories revealed that early age of alcohol use initiation distinguished between persistence and maturing out of AUD, while the course of NUD and CUD was related to ADHD symptoms and SUD severity at baseline. Already in their early twenties, men with ADHD are especially likely to exhibit persistent problematic substance use patterns. Substance-specific prevention strategies, particularly implemented before early adulthood, may be crucial to reducing the development and persistence of pathological patterns in such individuals.

Evaluation of the psychometric properties of the cannabis use disorders identification test - revised among college students

OBJECTIVE

Cannabis use is common among college students and is associated with a variety of negative consequences. The Cannabis Use Disorders Identification Test Revised (CUDIT-R) is an 8-item screening instrument designed to identify potentially problematic or harmful recent cannabis use. The purpose of the current study was to evaluate the internal consistency and validity of the CUDIT-R in a sample of college students who reported recent cannabis use (past 30 day).

METHODS

Participants (n = 229) completed the CUDIT-R and measures of smoking behavior (Daily Smoking Questionnaire; DSQ), cannabis related consequences (Marijuana Problem Index; MPI), and problematic cannabis use (self-reported DSM-5 Cannabis Use Disorder Criteria).

RESULTS

The CUDIT-R showed good internal consistency and concurrent validity with cannabis related outcome measures including; frequency of use, cannabis related consequences, and total DSM-5 criteria endorsed. The CUDIT-R also showed evidence of discriminant validity across DSM-5 severity classifications, achieved high levels of sensitivity (0.929) and specificity (0.704), and excellent area under the receiver operating characteristics curve when using a cutoff score of six. All items displayed high levels of discrimination and varied in terms of difficulty and information provided.

CONCLUSIONS

Overall, the CUDIT-R appears to be a reliable and valid screening measure when used to identify college students at risk for cannabis related problems. Future research should further evaluate the sensitivity and specificity of the CUDIT-R threshold scores with more rigorously established DSM-5 diagnoses, and across a range of populations. Research on the utility of using the CUDIT-R for measuring treatment outcomes is also warranted.

Comorbidity of Symptoms of Alcohol and Cannabis Use Disorders among a Population-Based Sample of Simultaneous Users. Insight from a Network Perspective

Research into comorbidity of alcohol and cannabis use disorders has resulted in inconsistent findings, especially among simultaneous users, who used alcohol and cannabis together on a single occasion. This study investigated the association of alcohol and cannabis use disorders among simultaneous users using a network perspective, which considers direct relationships between symptoms. We used a subset of simultaneous alcohol and cannabis users driven from the representative population-based sample of young Swiss men cohort study on substance use risk factors (C-SURF) (n = 1559 at baseline and n = 991 at follow-up). Self-reported symptoms of alcohol and cannabis use disorders were collected. Network analyses included network estimation, visualization, and community detection tests. Alcohol and cannabis use symptoms were separated in two distinct clusters, with few paths between them (eleven positive edges at baseline, three at follow-up). Withdrawal symptoms were likely to connect the two disorders at baseline, but not at follow-up. Alcohol and cannabis use disorders appeared as separate disorders among simultaneous users. Our findings mitigated previous findings on the detrimental association between alcohol and cannabis use. Future studies should incorporate network analyses as a means to study comorbidity in other community and clinical samples to confirm our preliminary findings.

The Cannabis Abuse Screening Test and the DSM-5 in the general population: Optimal thresholds and underlying common structure using multiple factor analysis

The Cannabis Abuse Screening Test (CAST) aims at screening the problematic use of cannabis. It has never been validated against the Diagnostic and Statistical Manual of Mental Disorders (DSM)-5 and its relationships with this latter have never been studied. We used a probabilistic telephone survey collected in 2014 (1351 past-year cannabis users aged 15-64) implementing the CAST and a DSM-5 adaptation of the Munich Composite International Diagnostic Interview assessing cannabis use disorders. Data were weighted, and CAST items were considered categorical. Factorial structures were assessed with confirmatory factor analyses; the relationships between the instruments were studied with multiple factor analysis (MFA). One factor for the DSM-5 and two correlated factors for the CAST were the best confirmatory factor analyses solutions. The CAST thresholds for screening moderate/severe and severe cannabis use disorders were 5 (sensitivity = 78.2% and specificity = 79.6%) and 8 (sensitivity = 86.0% and specificity = 86.7%), respectively. The MFA identified two orthogonal dimensions: The first was equally shared by both instruments; the second was the second CAST dimension (extreme frequencies of use before midday and alone, memory problems, and reproaches from friends/family). The CAST structure and screening properties were confirmed. The MFA explains its screening performances by its first dimension and identified the problematic patterns (the second dimension) that are not captured by the DSM-5.

The Effects of Social Presence on Adherence-Focused Guidance in Problematic Cannabis Users: Protocol for the CANreduce 2.0 Randomized Controlled Trial

Background

In European countries, including Switzerland, cannabis is the most commonly used illicit drug. Offering a Web-based self-help tool could potentially reach users who otherwise would not seek traditional help. However, such Web-based self-help tools often suffer from low adherence.

Objective

Through adherence-focused guidance enhancements, the aim of this study was to increase adherence in cannabis users entering a Web-based self-help tool to reduce their cannabis use and, in this way, augment its effectiveness.

Methods

This paper presents the protocol for a three-arm randomized controlled trial (RCT) to compare the effectiveness of (1) an adherence-focused, guidance-enhanced, Web-based self-help intervention with social presence; (2) an adherence-focused, guidance-enhanced, Web-based self-help intervention without social presence; and (3) a treatment-as-usual at reducing cannabis use in problematic users. The two active interventions, each spanning 6 weeks, consist of modules designed to reduce cannabis use and attenuate common mental disorder (CMD) symptoms, including depression, anxiety, and stress-related disorder symptoms based on the approaches of motivational interviewing and cognitive behavioral therapy. With a target sample size of 528, data will be collected at baseline, 6 weeks, and 3 months after baseline. The primary outcome measurement will be the number of days of cannabis use on the preceding 7 days. Secondary outcomes will include the quantity of cannabis used in standardized cannabis joints, the severity of cannabis dependence, changes in CMD symptoms, and adherence to the program. Data analysis will follow the intention-to-treat principle and employ (generalized) linear mixed models.

Results

The project commenced in August 2016; recruitment is anticipated to end by December 2018. First results are expected to be submitted for publication in summer 2019.

Conclusions

This study will provide detailed insights on if and how the effectiveness of a Web-based self-help intervention aiming to reduce cannabis use in frequent cannabis users can be improved by theory-driven, adherence-focused guidance enhancement.

Trial Registration

International Standard Randomized Controlled Trial Number Registry: ISRCTN11086185; http://www.isrctn.com/ISRCTN11086185 (Archived by WebCite at http://www.webcitation.org/6wspbuQ1M)

Bidirectional Associations Between Self-Reported Gaming Disorder and Adult Attention Deficit Hyperactivity Disorder: Evidence From a Sample of Young Swiss Men

Background: Gaming disorder (GD) has been shown to co-occur with attention deficit hyperactivity disorder (ADHD), yet few studies to date have investigated their longitudinal associations. Method: The sample included 5,067 young Swiss men (mean age was 20 years at wave 1 and 25 years at wave 3). Measures were the Game Addiction Scale and the Adult ADHD Self-Report Scale (6-item screener). Longitudinal associations were tested using autoregressive cross-lagged models for binary measures of GD and ADHD, as well as continuous measures for GD score and ADHD subscales of inattention and hyperactivity. Results: ADHD at age 20 increased the risk for GD at age 25 (probit = 0.066 [0.023, 0.109]; p = 0.003). GD at age 20 also increased the risk for ADHD at wave 3 (probit = 0.058 [0.013, 0.102]; p = 0.011). Only the ADHD inattention subscale showed a bidirectional longitudinal relationship with the GD score (standardized Beta from inattention at age 20 to GD score at age 25: 0.090 [0.056, 0.124]; p < 0.001; from GD score at age 20 to inattention at age 25: 0.044 [0.016, 0.071]; p = 0.002), whereas associations between the hyperactivity subscale and GD were not significant. Discussion: GD had bidirectional longitudinal associations with ADHD, in that ADHD increased the risk for GD and GD increased the risk for ADHD, and they may reinforce each other. These associations may be linked more to the inattention ADHD component than to the hyperactivity ADHD component. Individuals with ADHD or GD should be screened for the other disorder, and preventive measures for GD should be evaluated in individuals with ADHD.

Impact of different approaches of primary care mental health on the prevalence of mental disorders

AimTo compare the impact of three different approaches to primary care mental health on the prevalence of mental disorders.

BACKGROUND

Millions of people suffer from mental disorders. As entry point into the health service, primary healthcare plays an important role in providing mental health prevention and treatment.

METHODS

Random sample of households in three different areas of the city of Ribeirão Preto (state of São Paulo, Brazil) were selected, and 20 trained medical students conducted interviews using a mental health screening instrument, the Mini-Screening of Mental Disorders, and a socio-demographic datasheet. Primary care mental health was provided in each area through a specific approach. The influence of the area of residence and the socio-demographic variables on the prevalence of mental disorder was explored and analyzed by univariate binary logistic regression and then by a multiple logistic regression model.FindingsA total of 1545 subjects were interviewed. Comparison between the three areas showed a significantly higher number of people with mental disorders in the area covered by the primary care team that did not have physicians with specific primary care mental health training, even when this association was adjusted for the influence of age, education, and socio-economic status.Our results suggest that residing in areas with family physicians with mental health training is associated with a lower prevalence of mental disorders.

Preliminary Development of a Brief Cannabis Use Disorder Screening Tool: The Cannabis Use Disorder Identification Test Short-Form

Introduction: Rates of cannabis use disorder (CUD) among vulnerable populations have increased in recent years, highlighting a need to equip providers with an efficient screening tool.

Materials and Methods: A short form of the Cannabis Use Disorder Identification Test-Revised (CUDIT-R) was developed by using item response theory and traditional statistical methods, with data from two community samples of cannabis users representing two countries. Four item selection methods (Rasch regression, test characteristic curve, logistic regression, discriminant function analysis) were employed to identify the optimal three-item shortened version. The diagnostic ability of the short form was evaluated by using receiver operating characteristic curves.

Results: Using a cut score of 2, the 3-item CUDIT-Short Form (CUDIT-SF; reliability alpha=0.66, Sample 1; 0.80, Sample 2) identified 78.26% of participants in Sample 1 and 78.31% of participants in Sample 2 who met DSM-5 criteria for CUD, with 98% agreement in Sample 1 and 93% agreement in Sample 2 with the full CUDIT-R on CUD classifications using a cut score of 13. Specificity was 76.70 and 78.00 in Samples 1 and 2, respectively.

Conclusions: The CUDIT-SF may be useful in busy clinical settings for a stepwise screening. Further validation of this shortened version with larger samples and in different settings is warranted.

"Anything above marijuana takes priority": Obstetric providers' attitudes and counseling strategies regarding perinatal marijuana use

OBJECTIVE

To describe obstetric provider attitudes, beliefs, approaches, concerns, and needs about addressing perinatal marijuana use with their pregnant patients.

METHODS

We conducted individual semi-structured interviews with obstetric providers and asked them to describe their thoughts and experiences about addressing perinatal marijuana use. Interviews were transcribed verbatim, coded and reviewed to identify themes.

RESULTS

Fifty-one providers participated in semi-structured interviews. Providers admitted they were not familiar with identified risks of marijuana use during pregnancy, they perceived marijuana was not as dangerous as other illicit drugs, and they believed patients did not view marijuana as a drug. Most provider counseling strategies focused on marijuana's status as an illegal drug and the risk of child protective services being contacted if patients tested positive at time of delivery.

CONCLUSIONS

When counseling about perinatal marijuana use, obstetric providers focus more on legal issues than on health risks. They describe needing more information regarding medical consequences of marijuana use during pregnancy.

PRACTICE IMPLICATIONS

Provider training should include information about potential consequences of perinatal marijuana use and address ways to improve obstetric providers' counseling. Future studies should assess changes in providers' attitudes as more states consider the legalization of marijuana.

Adult attention-deficit/hyperactivity disorder and its association with substance use and substance use disorders in young men

BACKGROUND

Functional and mental health impairments that adults with attention-deficit/hyperactivity disorder (ADHD) experience may be exacerbated by regular substance use and co-morbidity with substance use disorders (SUD). This may be especially true during young adulthood, which represents a critical stage of life associated with increased substance use and associated problems. However, previous studies investigating the association between ADHD and substance use and SUD have demonstrated inconsistent results, probably due to methodological limitations (e.g., small and non-representative samples). Thus, the relationship of ADHD with substance use and related disorders remains unclear. The aim of the present study was to examine the association between ADHD and both the use of licit and illicit substances and the presence of SUD in a large, representative sample of young men.

METHOD

The sample included 5677 Swiss men (mean age 20 ± 1.23 years) who participated in the Cohort Study on Substance Use Risk Factors (C-SURF). ADHD was assessed using the adult ADHD Self Report Screener (ASRS). The association between ADHD and substance use and SUD was assessed for alcohol, nicotine, cannabis and other illicit drugs, while controlling for socio-demographic variables and co-morbid psychiatric disorders (i.e., major depression (MD) and anti-social personality disorder (ASPD)).

RESULTS

Men with ADHD were more likely to report having used nicotine, cannabis and other illicit drugs at some time in their life, but not alcohol. ADHD was positively associated with early initiation of alcohol, nicotine and cannabis use, the risky use of these substances, and the presence of alcohol use disorders, and nicotine and cannabis dependence. Additionally, our analyses revealed that these patterns are also highly associated with ASPD. After adjusting for this disorder, the association between ADHD and licit and illicit substance use and the presence of SUDs was reduced, but remained significant.

CONCLUSIONS

Our findings suggest that adult ADHD is significantly associated with a propensity to experiment with licit and illicit substances, especially at earlier ages, to exhibit risky substance use patterns, and to subsequently develop SUDs. Preventive strategies that include early intervention and addressing co-morbidity with ASPD may be crucial to reducing substance use and the development of pathological substance use patterns in young men affected by ADHD and, thus, helping to prevent further illness burden later in life.

A Web-Based Self-Help Intervention With and Without Chat Counseling to Reduce Cannabis Use in Problematic Cannabis Users: Three-Arm Randomized Controlled Trial

Background

After alcohol and tobacco, cannabis is the most widely used psychoactive substance in many countries worldwide. Although approximately one in ten users develops serious problems of dependency, only a minority attend outpatient addiction counseling centers. A Web-based intervention could potentially reach those users who hesitate to approach such treatment centers.

Objective

To test the efficacy of a Web-based self-help intervention with and without chat counseling—Can Reduce—in reducing the cannabis use of problematic cannabis users as an alternative to outpatient treatment services.

Methods

Altogether, 436 participants were recruited by various online and offline media for the Web-based trial. A total of 308 of these were eligible for study participation and were randomly allocated in an unblinded manner to either self-help with chat (n=114), self-help without chat (n=101), or a waiting list control group (n=93). The fully automated self-help intervention consisted of eight modules designed to reduce cannabis use, and was based on the principles of motivational interviewing, self-control practices, and methods of cognitive behavioral therapy. Additional individual chat counseling sessions were based on the same therapeutic principles. The sessions were conducted by trained counselors and addressed participants' personal problems. The main outcomes were the frequency (number of days) and quantity of cannabis use (number of standardized joints) per week, as entered into the consumption diary at baseline and at the 3-month follow-up. Secondary outcomes included self-reported symptoms of cannabis use disorder, severity of cannabis dependence, risky alcohol use, and mental health symptoms. Intervention participation and retention were extracted from the user progress data and the consumption diary, respectively.

Results

Can Reduce participants were older (U=2.296, P=.02) and reported a greater number of cannabis use days at baseline than patients who entered outpatient treatment with cannabis as their main problem substance (data from the Swiss treatment demand monitoring statistics were used; chi-square [df 2]=4.0, P=.046). Participants in the self-help with chat study arm completed a mean of 3.2 modules and 27 out of 114 (23.7%) of the participants received at least one chat session. Participants in the self-help without chat study arm completed similar numbers of self-help modules. A total of 117 of 308 participants (38.0%) completed the 3-month follow-up assessment. The change in the mean number of cannabis use days per week at 3 months differed between self-help without chat (mean change 0.7, SD -0.2) and self-help with chat (mean change 1.4, SD -0.5; beta=-0.75, SE=0.32, t=-2.39, P=.02, d=0.34, 95% CI 0.07-0.61), as well as between self-help with chat and waiting list (mean change 1.0, SD -0.8; beta=0.70, SE=0.32, t=2.16, P=.03, d=0.20, 95% CI -0.07 to 0.47). However, there were no differences between self-help without chat and waiting list (beta=-0.05, SE=0.33, t=-0.16, P=.87, d=-0.14, 95% CI -0.43 to 0.14). Self-reported abstinence was significantly different in the self-help without chat study arm (2.0%) than in the self-help with chat study arm (8.8%; beta=-1.56, SE=0.79, P=.05, odds ratio [OR]=0.21, 95% CI 0.02-2.33). There were no significant differences between the study arms with respect to the secondary outcomes.

Conclusions

Web-based self-help interventions supplemented by brief chat counseling are an effective alternative to face-to-face treatment and can reach a group of cannabis users who differ in their use and sociodemographic characteristics from those who enter outpatient addiction treatment.

Trial Registration

International Standard Randomized Controlled Trial Number (ISRCTN): 59948178; http://www.isrctn.com/ISRCTN59948178 (Archived by WebCite at http://www.webcitation.org/6bt01gfIr)

Gender differences in the associations among marijuana use, cigarette use, and symptoms of depression during adolescence and young adulthood

INTRODUCTION

As prevalence of marijuana use increases, it is important that we better understand how factors like gender, cigarette use, and depression are related to marijuana use during adolescence and young adulthood. We examined longitudinal relationships among these variables in adolescents moving into young adulthood who were studied longitudinally for six years.

METHODS

1263 individuals were included in the study. Participants were oversampled for ever-smoking a cigarette at baseline, when they were 15-16 years old. Frequency of cigarette smoking and marijuana use, as well as depression symptoms, were assessed at baseline, 6, 15, 24, 60 and 72 months.

RESULTS

Cigarette use frequency and depression symptoms were associated with frequency of marijuana use (p-values<.001), particularly in adolescence, but there were important gender differences in these relationships. Specifically, symptoms of depression were related to marijuana use frequency among males (p<.001), but not females (p=.62). In addition, frequency of marijuana use was associated with increased cigarette use frequency, especially among males who had higher symptoms of depression (p<.001). However, this effect was not seen among females. Exploratory analyses suggested that relationships between frequency of use and depression are specific to marijuana, not cigarettes.

CONCLUSIONS

Marijuana use is strongly related to depression symptoms and cigarette use frequency in males, indicating that in males these detrimental factors converge, whereas in females they do not. Gender differences in the factors related to marijuana use may mean that there are different risks for and consequences from use and have implications for prevention and intervention efforts.

Validation of French and German versions of a Perceived Neighborhood Social Cohesion Questionnaire among young Swiss males, and its relationship with substance use

This study main purpose was the validation of both French and German versions of a Perceived Neighborhood Social Cohesion Questionnaire. The sample group comprised 5065 Swiss men from the “Cohort Study on Substance Use Risk Factors.” Multigroup Confirmatory factor analysis showed that a three-factor model fits the data well, which substantiates the generalizability of Perceived Neighborhood Social Cohesion Questionnaire factor structure, regardless of the language. The Perceived Neighborhood Social Cohesion Questionnaire demonstrated excellent homogeneity ( α = 95) and split-half reliability ( r = .96). The Perceived Neighborhood Social Cohesion Questionnaire was sensitive to community size and participants’ financial situation, confirming that it also measures real social conditions. Finally, weak but frequent correlations between Perceived Neighborhood Social Cohesion Questionnaire and alcohol, cigarette, and cannabis dependence were measured.

Can reduce--the effects of chat-counseling and web-based self-help, web-based self-help alone and a waiting list control program on cannabis use in problematic cannabis users: a randomized controlled trial

BACKGROUND

In European countries, including Switzerland, as well as in many states worldwide, cannabis is the most widely used psychoactive substance after alcohol and tobacco. Although approximately one in ten users develop serious problems of dependency, only a minority attends outpatient addiction counseling centers. The offer of a combined web-based self-help and chat counseling treatment could potentially also reach those users who hesitate to approach such treatment centers and help them to reduce their cannabis use.

METHODS/DESIGN

This paper presents the protocol for a three-armed randomized controlled trial that will test the effectiveness of a web-based self-help intervention in combination with, or independent of, tailored chat counseling compared to a waiting list in reducing or enabling the abstention from cannabis use in problematic users. The primary outcome will be the weekly quantity of cannabis used. Secondary outcome measures will include the number of days per week on which cannabis is used, the severity of cannabis use disorder, the severity of cannabis dependence, cannabis withdrawal symptoms, cannabis craving, the use of alcohol, tobacco, and other non-cannabis illicit drugs, changes in mental health symptoms, and treatment retention. The self-help intervention will consist of 8 modules designed to reduce cannabis use based on the principles of motivational interviewing, self-control practices, and methods of cognitive behavioral therapy. The two additional individual chat-counseling sessions in the additional chat condition will be based on the same therapy approaches and tailored to participants' self-help information data and personal problems. The predictive validity of participants' baseline characteristics on treatment retention and outcomes will be explored.

DISCUSSION

To the best of our knowledge, this will be the first randomized controlled trial to test the effectiveness of online self-help therapy in combination or without chat counseling in reducing or enabling the abstention from cannabis use. It will also investigate predictors of outcome and retention for these interventions. This trial is registered at Current Controlled Trials and is traceable as ISRCTN59948178.

Measurement invariance of DSM-IV alcohol, marijuana and cocaine dependence between community-sampled and clinically overselected studies

AIMS

To examine whether DSM-IV symptoms of substance dependence are psychometrically equivalent between existing community-sampled and clinically overselected studies.

PARTICIPANTS

A total of 2476 adult twins born in Minnesota and 4121 unrelated adult participants from a case-control study of alcohol dependence.

MEASUREMENTS

Life-time DSM-IV alcohol, marijuana and cocaine dependence symptoms and ever use of each substance.

DESIGN

We fitted a hierarchical model to the data, in which ever use and dependence symptoms for each substance were indicators of alcohol, marijuana or cocaine dependence which were, in turn, indicators of a multi-substance dependence factor. We then tested the model for measurement invariance across participant groups, defined by study source and participant sex.

FINDINGS

The hierarchical model fitted well among males and females within each sample [comparative fit index (CFI) > 0.96, Tucker-Lewis index (TLI) > 0.95 and root mean square error of approximation (RMSEA) < 0.04 for all], and a multi-group model demonstrated that model parameters were equivalent across sample- and sex-defined groups (ΔCFI = 0.002 between constrained and unconstrained models). Differences between groups in symptom endorsement rates could be expressed solely as mean differences in the multi-substance dependence factor.

CONCLUSIONS

Life-time substance dependence symptoms fitted a dimensional model well. Although clinically overselected participants endorsed more dependence symptoms, on average, than community-sampled participants, the pattern of symptom endorsement was similar across groups. From a measurement perspective, DSM-IV criteria are equally appropriate for describing substance dependence across different sampling methods.

A validation of the Cannabis Abuse Screening Test (CAST) using a latent class analysis of the DSM-IV among adolescents

This paper explored the latent class structure of the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV) (assessed with the Munich Composite International Diagnostic Interview). Secondly, the screening properties of the Cannabis Abuse Screening Test (CAST) in adolescents were assessed with classical test theory using the latent class structure as empirical gold standard. The sample comprised 3266 French cannabis users aged 17 to 19 from the general population. Three latent classes of cannabis users were identified reflecting a continuum of problem severity: non-symptomatic, moderate and severe. Gender-specific analyses showed the best model fit, although results were almost identical in the total sample. The latent classes were good predictors of daily cannabis use, number of joints per day and age of first experimentation. The CAST showed good screening properties for the moderate/severe class (area under receiver operating characteristic curve > 0.85) and very good for the severe class (0.90). It was more sensitive for boys, more specific for girls. Although structural equivalence across gender was rejected, results suggest small gender differences in the latent structure of the DSM-IV. The performance of the CAST in screening for the latent class structure was good and superior to those obtained with the classical DSM-IV diagnoses.

Dimensions and severity of marijuana consequences: development and validation of the Marijuana Consequences Questionnaire (MACQ)

The Marijuana Consequences Questionnaire (MACQ) is a 50-item self-report measure modeled after the Young Adult Alcohol Consequences Questionnaire (YAACQ). College students (n=315) completed questionnaires online. A confirmatory factor analysis supported the hypothesized 8-factor structure. The results indicate good convergent and discriminant validity of the MACQ. A brief, unidimensional, 21-item version (B-MACQ) was developed by a Rasch model. Comparison of item severity estimates of the B-MACQ items and the corresponding items from the YAACQ indicates that the severity of alcohol- and marijuana-problems is defined by a relatively unique pattern of consequences. The MACQ and B-MACQ provide promising new alternatives to assessing marijuana-related problems.