Alcohol misuse in emerging adulthood: Association of dopamine and serotonin receptor genes with impulsivity-related cognition

Cognitive Alterations in Addictive Disorders: A Translational Approach

The cognitive decline in people with substance use disorders is well known and can be found during both the dependence and drug abstinence phases. At the clinical level, cognitive decline impairs the response to addiction treatment and increases dropout rates. It can be irreversible, even after the end of drug abuse consumption. Improving our understanding of the molecular and cellular alterations associated with cognitive decline could be essential to developing specific therapeutic strategies for its treatment. Developing animal models to simulate drug abuse-induced learning and memory alterations is critical to continue exploring this clinical situation. The main aim of this review is to summarize the most recent evidence on cognitive impairment and the associated biological markers in patients addicted to some of the most consumed drugs of abuse and in animal models simulating this clinical situation. The available information suggests the need to develop more studies to further explore the molecular alterations associated with cognitive impairment, with the ultimate goal of developing new potential therapeutic strategies.

Primed for addiction: A critical review of the role of microglia in the neurodevelopmental consequences of adolescent alcohol drinking

Alcohol is one of the most widely used recreational substances worldwide, with drinking frequently initiated during adolescence. The developmental state of the adolescent brain makes it vulnerable to initiating alcohol use, often in high doses, and particularly susceptible to alcohol-induced brain changes. Microglia, the brain parenchymal macrophages, have been implicated in mediating some of these effects, though the role that these cells play in the progression from alcohol drinking to dependence remains unclear. Microglia are uniquely positioned to sense and respond to central nervous system insult, and are now understood to exhibit innate immune memory, or "priming," altering their future functional responses based on prior exposures. In alcohol use disorders (AUDs), the role of microglia is debated. Whereas microglial activation can be pathogenic, contributing to neuroinflammation, tissue damage, and behavioral changes, or protective, it can also engage protective functions, providing support and mediating the resolution of damage. Understanding the role of microglia in adolescent AUDs is complicated by the fact that microglia are thought to be involved in developmental processes such as synaptic refinement and myelination, which underlie the functional maturation of multiple brain systems in adolescence. Thus, the role microglia play in the impact of alcohol use in adolescence is likely multifaceted. Long-term sequelae may be due to a failure to recover from EtOH-induced tissue damage, altered neurodevelopmental trajectories, and/or persistent changes to microglial responsivity and function. Here, we review critically the literature surrounding the effects of alcohol on microglia in models of adolescent alcohol misuse. We attempt to disentangle what is known about microglia from other neuroimmune effectors, to which we apply recent discoveries on the role of microglia in development and plasticity. Considered altogether, these studies challenge assumptions that proinflammatory microglia drive addiction. Alcohol priming microglia and thereby perturbing their homeostatic roles in neurodevelopment, especially during critical periods of plasticity such as adolescence, may have more serious implications for the neuropathogenesis of AUDs in adolescents.

Precision Mental Health Care for Cannabis Use Disorder: Utility of a bioSocial Cognitive Theory to Inform Treatment

Globally, cannabis is the most frequently used controlled substance after alcohol and tobacco. Rates of cannabis use are steadily increasing in many countries and there is emerging evidence that there is likely to be greater risk due to increased concentrations of delta-9-tetrahydrocannabinol (THC). Cannabis use and Cannabis Use Disorder (CUD) has been linked to a wide range of adverse health outcomes. Several biological, psychological, and social risk factors are potential targets for effective evidence-based treatments for CUD. There are no effective medications for CUD and psychological interventions are the main form of treatment. Psychological treatments based on Social Cognitive Theory (SCT) emphasize the importance of targeting 2 keys psychological mechanisms: drug outcome expectancies and low drug refusal self-efficacy. This mini-review summarizes the evidence on the role of these mechanisms in the initiation, maintenance, and cessation of cannabis use. It also reviews recent evidence showing how these psychological mechanisms are affected by social and biologically-based risk factors. A new bioSocial Cognitive Theory (bSCT) is outlined that integrates these findings and implications for psychological cannabis interventions are discussed. Preliminary evidence supports the application of bSCT to improve intervention outcomes through better targeted treatment.

From Impulse to Action? Cognitive Mechanisms of Impulsivity-Related Risk for Externalizing Behavior

Trait impulsivity is an established risk factor for externalizing behavior problems in adolescence, but little is understood about the cognitive mechanisms involved. Negative automatic thoughts are associated with externalizing behaviors and impulsivity is associated with less cognitive reappraisal. This study sought to adapt the bioSocial Cognitive Theory (bSCT) of impulsivity and substance use (an externalizing behavior) for externalizing behavior in general. It was predicted that only the component of impulsivity characterized by lack of forethought (rash impulsiveness; RI) would be associated with (non-substance use-related) externalizing behaviors, not reward sensitivity/drive. Further, this association would be mediated by negative automatic thoughts. Participants were 404 (226 female, 63%) adolescents from 6 high schools across South-East Queensland (age = 13-17 years, mean age = 14.97 years, SD = 0.65 years) of mostly Australian/New Zealand (76%) or European (11%) descent. Participants completed self-report measures of impulsivity, negative automatic thoughts, and externalizing behaviors. Path analysis revealed that, as predicted, only RI was uniquely associated with negative automatic thoughts and externalizing behaviors. However, only negative automatic thoughts centered around hostility mediated the positive association between RI and externalizing behaviors, with the indirect mediation effect being smaller than the direct association. In contrast to substance use, only one component of impulsivity, RI, was associated with general adolescent externalizing behavior. Hostile automatic thoughts may be an important mechanism of risk, supporting a role for cognitive-behavioral interventions. Other biopsychosocial mechanisms are clearly involved and the bSCT may provide a useful framework to guide future research.

Testing the biosocial cognitive model of substance use in cannabis users referred to treatment

BACKGROUND

The bioSocial Cognitive Theory (bSCT) hypothesizes two pathways linking dimensions of impulsivity to substance use. The first predicts that the association between reward sensitivity and substance use is mediated by positive outcome expectancies. The second predicts that the relationship between rash impulsiveness and substance use is mediated by refusal self-efficacy. This model has received empirical support in studies of alcohol use. The present research provides the first application of bSCT to a cannabis treatment population and aims to extend its utility to understanding cannabis use and severity of dependence.

DESIGN

273 patients referred for cannabis treatment completed a clinical assessment that contained measures of interest.

SETTING

A public hospital alcohol and drug clinic.

MEASUREMENTS

The Sensitivity to Reward Scale, Dysfunctional Impulsivity Scale, Cannabis Expectancy Questionnaire, Cannabis Refusal Self-Efficacy Questionnaire and Severity of Dependence Scale-Cannabis were completed, along with measures of cannabis consumption.

FINDINGS

The bSCT model provided a good fit to the data for cannabis use and severity of dependence outcomes. The association between reward sensitivity and each cannabis outcome was fully mediated by positive cannabis expectancies and cannabis refusal self-efficacy. The relationship between rash impulsiveness and each cannabis outcome was fully mediated by cannabis refusal self-efficacy.

CONCLUSIONS

Findings support the application of the bSCT model to cannabis use and dependence severity and highlight the important role of social cognitive mechanisms in understanding the association between impulsivity traits and these outcomes. The differential association of impulsivity traits to social cognition may assist targeted treatment efforts.

Psychometric evaluation of the drinking refusal self-efficacy scale - revised with college students in the United States

Drinking refusal self-efficacy has recently emerged as a potential factor related to reduced alcohol consumption and alcohol-related negative consequences in college students. The Drinking Refusal Self-Efficacy Questionnaire-Revised (DRSEQ-R) has been commonly used to assess for drinking refusal self-efficacy. However, psychometric evaluation of the measure with college students from the United States is needed to enhance its research and clinical utility. The goal of the present study was to confirm the factor structure of the DRSEQ-R with a sample of traditional aged college students from the United States as well as assess the measurement invariance of the factor structure across sex and race and the measure's convergent validity with other common alcohol use measures. Traditional age college students (n = 1683, 73% women; 63% White, non-Hispanic) completed measures of drink refusal self-efficacy, protective behavioral strategies, weekly alcohol use, hazardous drinking, and alcohol-related negative consequences. Using exploratory factor analysis and multi-group confirmatory factor analyses, a three-factor structure was identified, but, unlike the DRSEQ-R, one item loaded onto the opportunistic relief factor instead of the social pressure factor. The proposed model registered more reliable internal consistencies across the subscales, was invariant across sex and race, and demonstrated acceptable convergent validity with other commonly used alcohol measures. The proposed model for the DRSE-R may be a more psychometrically sound way to assess for drinking refusal self-efficacy among college students in the United States. Implications, limitations, and future research directions are discussed.

What Did You Expect? Substance Use Expectancies Mediate the Relationships Between Dark Triad Traits, Substance Use, and Substance Preference

This study explores the role of substance use expectancies as mediators between the Dark Triad of personality, substance use, and substance use preferences. A sample of college students ( M = 19.38, SD = 2.63, N = 207) completed an online questionnaire that assessed the Dark Triad traits, substance use history, substance preferences, and substance use expectancies. Three specific substance use expectancies-increased confidence, tension reduction, and cognitive enhancement-were shown to either partially or fully mediate the relationships between the Dark Triad and substance use behaviors and preference for certain substances of abuse. These findings may hold clinical implications for the treatment of substance use disorders and further the understanding of factors contributing to the etiology and progression of substance abuse and substance use disorders.

A biosocial cognitive model of cannabis use in emerging adulthood

OBJECTIVES

The aim of this study was to test a new theoretical model of cannabis use incorporating biologically-based personality traits and social cognition. This biosocial cognitive theory (bSCT) has robust support in alcohol studies, but has not been applied to cannabis. The model proposes two pathways linking dimensions of impulsivity to cannabis use. The first predicts that the association between Reward Sensitivity (SR) and cannabis use is mediated by positive outcome expectancies. The second predicts that the relationship between Rash Impulsiveness (RI) and cannabis use is mediated by cannabis refusal self-efficacy. An extended version of this model was also tested and included a third pathway linking Punishment Sensitivity (SP) to cannabis use via higher negative outcome expectancies.

METHOD

Participants were 252 18-to-21-year-olds who completed questionnaires assessing cannabis use, personality and social cognition. Theoretical models were tested using structural equation modeling.

RESULTS

The bSCT model provided a good fit to the data (CFI=0.95; RMSEA=0.07; SRMR=0.06). Positive cannabis expectancies and refusal self-efficacy partially mediated the association between SR and cannabis use (p<0.05). Cannabis refusal self-efficacy fully mediated the relationship between RI and cannabis use (p<0.05). The addition of a third SP pathway did not improve model fit.

CONCLUSIONS

Consistent with alcohol studies, the association between impulsivity and cannabis use is largely mediated by social cognition. The bSCT may provide novel insights to inform prevention and treatment of problematic cannabis use.

Hostility predicts alcohol consumption over a 21-year follow-up in the Gazel cohort

BACKGROUND

Hostility has been found to be positively associated with alcohol intake in cross-sectional studies. Our aim was to examine prospectively the long-lasting association of hostility with alcohol consumption.

METHODS

We included 10,612 men and 3834 women from the French Gazel cohort with mean ages in 1993 of 48.6 (SD=2.9) and 45.7(SD=4.2), respectively. Hostility (i.e., total, cognitive and behavioral) was assessed in 1993 with the Buss and Durkee Hostility Inventory. Alcohol consumption was self-reported annually from 1994 to 2014. Hostility scores were introduced successively in general linear mixed models with annual alcohol consumption in drinks per week as dependent variable. Multivariable analyses were adjusted for age, occupational status, marital status, retirement status and depression score. All the analyses were stratified by sex.

RESULTS

Among men (women), 83.0% (76.2%) completed at least 75% of all annual assessment of alcohol consumption over a 21-year follow-up. In univariate analysis, alcohol consumption was associated with total and behavioral hostility in both sex (all p<0.001). In multivariable analyses, these associations remained significant with a greater size effect for behavioral hostility. Estimated means of alcohol consumptions ranged from 10.50 [95CI%: 10.01-10.92] drinks per week to 13.32 [95%CI: 12.90-13.74] in men and from 4.09 [95%CI: 3.71-4.46] to 5.78 [95%CI: 5.39-6.17] in women, for the first and last quartiles respectively (p trends<0.001 and all pairwise comparisons<0.01). Similar effects were observed among participants with at-risk alcohol consumption at baseline.

CONCLUSIONS

In both men and women, behavioral hostility predicted alcohol consumption over a 21-year follow-up. Interventions aiming at modulating behavioral hostility may help reducing its long-lasting influence on alcohol consumption.