Long-term drinking stability in the open-access self-administration monkey model.

The Non-Human Primate (NHP) model for the study of Alcohol Use Disorders (AUD) as developed in our laboratories is critical to our understanding of the pathophysiology of voluntary, chronic, ethanol consumption. Previous work in this model established categories of ethanol consumption that parallel reported categories of human consumption across a spectrum spanning low drinking, binge drinking, heavy drinking, and very heavy drinking, albeit at generally higher daily intakes across categories than documented in people. Original categories assigned to ethanol consumption patterns were established using a limited cohort of rhesus macaques. This study revisits the validity of categorical drinking using an additional 28 monkeys. In addition to finding categorical representations consistent with the original 2014 report, our findings demonstrate that drinking categories remain stable across the observed 12 months of nearly consistent access to ethanol (22 h/day), termed "open access". Animals occupying the two ends of the spectrum, "low" and "very heavy" drinkers, exhibit the largest stability. The findings also indicate a slight escalatory drift over time, with very heavy drinking animals experiencing fatigue near the end of open access.

The Association Between Family Violence, Depression and Anxiety Among Women Whose Partners Have Been Treated for Alcohol Dependence.

The negative effects of men's excessive alcohol consumption on family members are well known. However, less is known about how men's alcohol dependence is associated with the mental health of their female spouses residing with them. Therefore, the aim of this study was to investigate the prevalence and factors associated with depression, anxiety, and intimate partner violence against women (IPVAW) whose male spouses are undergoing treatment for alcohol dependence. We hypothesize that men with alcohol dependency, who are also violent, present a serious threat to women's mental health. We conducted a cross-sectional study among 104 women whose male partners had been admitted for inpatient treatment for alcohol dependence. Women's depression was measured by the Beck Depression Inventory (BDI-II); anxiety was measured by the Beck Anxiety Inventory (BAI), and exposure to physical and sexual IPVAW was measured by the Conflict Tactics Scale (CTS-2). Multinomial logistic regression analyses were conducted in order to analyze factors associated with depression and anxiety. The prevalence of moderate/severe depression and anxiety among the women was 34.6% and 25.2%, respectively, while almost half (48.1%) experienced IPV during the past 12 months. After adjustments for age, exposure to IPV increased the chances of experiencing moderate/severe depression by 37.5 times (95% CI 7.91-177.76), and 8.15 times for moderate/severe anxiety (95% CI 2.45-27.14). The mental health of women whose partners have alcohol dependence is significantly threatened and should be considered, especially when it is associated with exposure to spousal violence.

Screening for depression in patients in treatment for alcohol use disorder using the Beck Depression Inventory-II and the Hopkins Symptom Checklist-10.

Alcohol use disorder (AUD) and major depressive disorder (MDD) are prevalent disorders that often co-occur. The aim of the study was to investigate how the Beck Depression Inventory (BDI-II) and Hopkins Symptom Checklist (HSCL-10) perform as screening instruments for MDD in AUD patients in treatment. The study included 127 mainly AUD inpatients currently in treatment at rehabilitation clinics in Norway. Demographic and clinical variables were examined using questionnaires and clinical interviews. The factor structures of the BDI-II and HCSL-10 were examined, as well as internal consistency and receiver operating characteristic (ROC) curve analyses. The Mini International Neuropsychiatric Interview (M.I.N.I.) was used as standard for diagnosing MDD. In total, 14% of the participants were diagnosed with MDD. BDI-II factor analysis retrieved three factors; cognition, somatic complaints and affect, and factor analysis for the HSCL-10 retrieved two factors; depression and anxiety. The optimal cut-off for the BDI-II was 24.5 with sensitivity of 80% and specificity of 78%. For HSCL-10 the optimal cut-off was 2.35, giving sensitivity of 80% and specificity of 69%. Both the BDI-II and HSCL-10 may be clinically useful screening instruments for MDD in AUD patients. There was a tendency that the affect factor of the BDI-II and the depression factor of the HSCL-10 were slightly more suitable for identifying MDD than the other factors. Optimal cut-offs for both the BDI-II and the HSCL-10 in this patient group were higher than cut-offs commonly used in the general population.

Is Virtual Reality Cue Exposure a Promising Adjunctive Treatment for Alcohol Use Disorder?

This narrative review presents recent developments in virtual reality (VR)-based interventions for alcohol use disorders (AUDs). The latest advances in mental healthcare hail an imminent cyber revolution, ushering in novel treatment options, with immersive virtual technology at the very forefront of expected change. With an aim to (a) provide a background on VR use in mental healthcare of AUD patients, (b) summarize existing evidence on conventional approaches to the treatment of AUDs and a trending paradigm shift towards VR applications in their management, and (c) describe key issues and future directions in research on craving assessment and VR cue-induced therapy in AUDs, a search for experimental and meta-analytic evidence was performed in six databases: PubMed and EBSCO (Medline, ERIC, PsychINFO, Academic Search Ultimate, and Health Source: Nursing/Academic Edition). Pooled results were screened for eligibility, and relevant papers were selected for inclusion. The analysis revealed VR's promising effects in the treatment of AUDs. Its remarkable potential to simulate cues underlying subsequent addictive behaviors makes its application in the assessment and treatment of AUDs an attractive alternative to researchers and clinicians alike. Nevertheless, more evidence is needed before virtual reality cue exposure therapy (VR-CET) can become a clinical standard of care.

Biochemical Mechanisms Associating Alcohol Use Disorders with Cancers.

The World Health Organization identifies alcohol as a cause of several neoplasias of the oropharynx cavity, esophagus, gastrointestinal tract, larynx, liver, or female breast. We review ethanol's nonoxidative and oxidative metabolism and one-carbon metabolism that encompasses both redox and transfer reactions that influence crucial cell proliferation machinery. Ethanol favors the uncontrolled production and action of free radicals, which interfere with the maintenance of essential cellular functions. We focus on the generation of protein, DNA, and lipid adducts that interfere with the cellular processes related to growth and differentiation. Ethanol's effects on stem cells, which are responsible for building and repairing tissues, are reviewed. Cancer stem cells (CSCs) of different origins suffer disturbances related to the expression of cell surface markers, enzymes, and transcription factors after ethanol exposure with the consequent dysregulation of mechanisms related to cancer metastasis or resistance to treatments. Our analysis aims to underline and discuss potential targets that show more sensitivity to ethanol's action and identify specific metabolic routes and metabolic realms that may be corrected to recover metabolic homeostasis after pharmacological intervention. Specifically, research should pay attention to re-establishing metabolic fluxes by fine-tuning the functioning of specific pathways related to one-carbon metabolism and antioxidant processes.

The number of biological parents with alcohol use disorder histories and risk to offspring through age 30.

OBJECTIVE: We investigated associations between the number of parents with histories of alcohol use disorder (AUD) and several offspring (proband) variables through age 30: occurrence of AUD and, separately, alcohol dependence; onset age of the initial AUD episode; time to recovery from the first AUD episode; number of distinct AUD episodes; and cumulative duration of AUD across episodes. METHODS: Offspring data were collected during four assessment waves of a longitudinal epidemiological study of psychiatric disorders with a regionally representative sample. The reference sample included 730 offspring with diagnostic data from at least one parent. Offspring were assessed with semi-structured diagnostic interviews between mid-adolescence and young adulthood and parents were assessed when offspring were approximately 24 years of age. RESULTS: As the number of parents with AUD increased, offspring risk for AUD and alcohol dependence also increased. Latent growth model results indicated that offspring AUD risk trajectories increase in severity as a function of the number of parents with AUD. This pattern of results was not observed for other AUD course-related features in offspring (i.e., number of distinct episodes; months required for recovery from initial episode; cumulative duration across episodes). CONCLUSIONS: The number of parents with a history of AUD is associated with overall offspring risk for AUD and alcohol dependence and elevated AUD risk trajectories through age 30. The number of parents with AUD may be a more relevant risk factor for onset-related characteristics of AUD in offspring than for its longitudinal course.

Sleep and the Pharmacotherapy of Alcohol Use Disorder: Unfortunate Bedfellows. A Systematic Review With Meta-Analysis.

Background: Sleep disorders are commonly associated with acute and chronic use of alcohol and with abstinence. To date, there are four approved drugs to treat alcohol use disorder (AUD): disulfiram, acamprosate, naltrexone, and nalmefene. These AUD therapies reduce the craving and risk of relapse into heavy drinking, but little is known about their effect on sleep. As recent evidences indicate a crucial role of sleep disorders in AUD, claiming that sleep problems may trigger alcohol abuse and relapses, it is fundamental to clarify the impact of those drugs on the sleep quality of AUD patients. This systematic review aims to answer the question: how does the pharmacotherapy for AUD affect sleep? Methods: We searched PubMed, Embase, CINAHL Plus, Cochrane, and Scopus using sleep- and AUD pharmacotherapy-related keywords. The articles included were appraised using the CASP checklists, and the risk of bias was assessed following the Cochrane risk-of-bias assessment tool. Finally, we pooled sleep outcomes in a meta-analysis to measure the overall effect. Results and Conclusion: We included 26 studies: only three studies focused on sleep as a main outcome, two with polysomnography (objective measurement), and one with subjective self-reported sleep, while all the other studies reported sleep problems among the adverse effects (subjective report). The only study available on disulfiram showed reduced REM sleep. Acamprosate showed no/little effect on self-reported sleep but improved sleep continuity and architecture measured by polysomnography. The two opioidergic drugs naltrexone and nalmefene had mainly detrimental effect on sleep, giving increased insomnia and/or somnolence compared with placebo, although not always significant. The meta-analysis confirmed significantly increased somnolence and insomnia in the naltrexone group, compared with the placebo. Overall, the currently available evidences show more sleep problems with the opioidergic drugs (especially naltrexone), while acamprosate seems to be well tolerated or even beneficial. Acamprosate might be a more suitable choice when patients with AUD report sleep problems. Due to the paucity of information available, and with the majority of results being subjective, more research on this topic is needed to further inform the clinical practice, ideally with more objective measurements such as polysomnography.

DSM-5 latent classes of alcohol users in a population-based sample: results from the São Paulo Megacity Mental Health Survey, Brazil.

BACKGROUND: We aimed to identify different categorical phenotypes based upon the DSM-V criteria of alcohol use disorders (AUD) among alcohol users who had at least one drink per week in the past year (n=948). METHODS: Data are from the São Paulo Megacity Mental Health Survey collected in 2005-2007, as part of the World Mental Health Survey Initiative. A latent class analysis of the 11 DSM-5-AUD criteria was performed using Mplus, taking into account complex survey design features. Weighted logistic regression models were used to examine demographic correlates of the DSM-5-AUD latent classes. RESULTS: The best latent-class model was a three-class model. We found a "non-symptomatic class" (69.7%), a "use in larger amounts class" (23.2%), defined by high probability (>70%) of the "use in larger amounts" criterion only, and a "high-moderate symptomatic class" (7.1%), defined by high-moderate probability of all the 11 AUD criteria. Compared to those in the non-symptomatic class, individuals in the "high-moderate symptomatic class" were more likely to have been married, have lower educational attainment and to be unemployed or in non-regular/informal employment. Those on the "use in larger amounts class" were more likely to have been married or never married. CONCLUSION: The two symptomatic classes clearly represented the dimensionality of the new proposed AUD criteria, and could be more specifically targeted by different prevention or treatment strategies. DSM-5-AUD has the advantage of shedding light on risky drinkers included in the "use in larger amounts class", allowing for preventive interventions, which will reach a large number of individuals.