Risky decision-making as an antecedent or consequence of adolescent cannabis use: findings from a 2-year longitudinal study

Computational markers of risky decision-making predict for relapse to alcohol

BACKGROUND

Relapse remains the major challenge in treatment of alcohol use disorder (AUD). Aberrant decision-making has been found as important cognitive mechanism underlying relapse, but factors associated with relapse vulnerability are unclear. Here, we aim to identify potential computational markers of relapse vulnerability by investigating risky decision-making in individuals with AUD.

METHODS

Forty-six healthy controls and fifty-two individuals with AUD were recruited for this study. The risk-taking propensity of these subjects was investigated using the balloon analog risk task (BART). After completion of clinical treatment, all individuals with AUD were followed up and divided into a non-relapse AUD group and a relapse AUD group according to their drinking status.

RESULTS

The risk-taking propensity differed significantly among healthy controls, the non-relapse AUD group, and the relapse AUD group, and was negatively associated with the duration of abstinence in individuals with AUD. Logistic regression models showed that risk-taking propensity, as measured by the computational model, was a valid predictor of alcohol relapse, and higher risk-taking propensity was associated with greater risk of relapse to drink.

CONCLUSION

Our study presents new insights into risk-taking measurement and identifies computational markers that provide prospective information for relapse to drink in individuals with AUD.

Motives for Cannabis Use and Risky Decision Making Influence Cannabis Use Trajectories in Teens

The current study will examine the interactive effects of motives for cannabis use (i.e., health or recreational) and risky decision making (DM) on cannabis use trajectories among adolescents. Data from 171 adolescents, aged 14-17 at the initial visit (baseline), were prospectively analyzed across five time points approximately six months apart. Latent growth curve modeling and linear regression analyses were used. We found a significant interactive effect of "recreational motives" and risky DM on the rate of cannabis use over time. Specifically, among those less likely to use cannabis for recreational purposes, riskier DM was associated with a faster increase in the rate of use over time relative to those with lower risky DM. Additionally, a significant main effect showed that those with a greater proclivity to use cannabis for health purposes had higher initial levels of use at baseline and faster increases in the rate of use over time. Regardless of risky DM, using cannabis for health purposes is associated with faster increases in cannabis use escalation. Additionally, risky DM does impact the association between recreational motives for use and cannabis use trajectories. Future work should examine these associations with additional motives for cannabis use that have been previously validated within the literature.

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

Objective

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

Methods

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

Results

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

Conclusions

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

DRUG-IMPAIRED DRIVING AND TRAFFIC COLLISIONS: STUDY ON A CROSS SECTION OF THE ITALIAN POPULATION

The present study focuses on the association between road accidents and the presence of drugs of abuse markers in the biological fluids of the drivers. Biological fluids collected from 1,236 drivers involved in road accidents (54 fatal and 1,182 non-fatal crashes) in the Rome area were analysed for alcohol and psychotropic drugs, as required by judicial authorities. The substance most frequently detected was alcohol (in 19% of non-fatal and 32% of fatal crashes), followed by cannabinoids (12% of non-fatal crashes) and cocaine (9% of non-fatal and 20% of fatal crashes). The results obtained for cocaine and cannabinoids in blood and urine were compared. We observed the absence or low concentrations of the active drug in blood (cocaine was often below 5 ng/mL and THC below 1 ng/mL), whereas urinary concentrations of metabolites were generally high (benzoylecgonine 250 - above 5000 ng/mL, THCCOOH 15-270 ng/mL). The risk of being involved in a road accident if cocaine or cannabis markers were present in the urine specimens was evaluated compared to a control population. The odds ratios calculated, being 8.13 for cannabis and 5.32 for cocaine, suggest a strong association between the presence of these drugs in the urine of drivers and traffic accidents, regardless of their presence in blood samples. The present data suggest that the chance of being involved in a road accident is higher than in the control population even if the subject is no longer "under the influence" of cannabis or cocaine at the time of the accident.

Sex differences in bidirectional associations between conduct problems and cannabis use across two years of adolescence

BACKGROUND

There is a large body of research that has identified bidirectional associations between conduct problems and cannabis use. Despite growing knowledge regarding comorbidities between conduct problems and cannabis use, it remains unclear whether these findings generalize across both males and females. The current study examined sex differences in longitudinal associations between conduct problems and cannabis use in a predominantly Hispanic sample of adolescents followed over a two-year period.

METHODS

Participants were 401 adolescents (89.8% Hispanic, 46% female; M_age = 15.5) taking part in a two-year longitudinal investigation examining the associations between neurocognitive functioning and cannabis use. The sample consisted predominantly of youth selected for risk of cannabis escalation, with 90% reporting using cannabis, nicotine, or alcohol prior to baseline. Negative binomial cross-lagged regressions and simple slope difference tests were used for all analyses.

RESULTS

We found support for bidirectional associations between conduct problems and cannabis use, controlling for demographics, covariates, and baseline frequencies. Simple slope difference tests revealed that there was a significant, positive association between baseline cannabis use and subsequent conduct problems among females but not males. In contrast, the association between baseline conduct problems and subsequent frequency of cannabis use did not differ as a function of sex.

CONCLUSIONS

Our results underscore the importance of viewing cannabis use as a risk factor for maladjustment rather than solely as a consequence, particularly among female adolescents. Information gained from temporal sequencing of cannabis use and conduct problem symptoms can guide the selection of intervention programs for referred youth.