Abstract Introduction High rates of early hospital discharge are often observed in crack cocaine users and are related to adverse outcomes and increased public spending. This study evaluated clinical and sociodemographic factors associated with early treatment discharge among crack users. Methods The sample comprised 308 men diagnosed with crack cocaine use disorder (crack only), aged 18 to 65 years, admitted between 2013 and 2017 to a male-only hospital unit to treat substance use disorders. Sociodemographic and clinical data were obtained using the Addiction Severity Index, 6th version, and a Sociodemographic Questionnaire. Results Early discharge (within 7 days) was significantly associated with lack of own income, insufficient family support, being single, and recent homelessness. Regarding drug use, lower treatment retention was related to younger age of crack use onset, recent alcohol use, and nicotine use. Factors such as age, skin color, and educational level showed no relation to the outcome. Conclusion Our findings suggest that presence of characteristics verifiable at the time of admission may be related to crack users’ treatment retention. Identification of these factors can contribute to target interventions in order to improve treatment adherence in crack cocaine users. spending 30 only, only , only) 1 6 years 201 maleonly male disorders Index th version Questionnaire within days income support single homelessness onset color outcome 3 20 2

Abstract Introduction Consumption of substances has been associated with cognitive impairment. The Mini Mental State Examination (MMSE) is an easy-to-apply screening tool used to assess cognitive functions. Objectives To evaluate the cognitive performance of individuals with alcohol (AUD) and/or crack cocaine use disorder (CUD) and polysubstance use using the MMSE and to investigate the impact of substance use profile and the moderation effect of educational level on MMSE performance. Methods Cross-sectional study with 508 adult male inpatients diagnosed with substance use disorders (245 with AUD, 85 with CUD, and 178 with polysubstance use). Cognitive performance was assessed using the MMSE scale (total and composite scores). Results Individuals with AUD had worse total MMSE scores and scored worse for all three MMSE components compared to individuals with polysubstance use (p < 0.001, oral/written language comprehension, p < 0.001, attention/memory, and p = 0.007, motor functions). MMSE scores were positively correlated with educational level (p < 0.017), but were not associated with age, recent drug use, or years of drug use. Educational level moderated the impact of substance use on MMSE performance, especially total score and composite language comprehension score. Individuals with a low educational level (≤ 8 years) had worse performance than those with a high educational level (≥ 9 years), mainly in individuals with AUD (p < 0.001). Discussion Individuals with a low educational level and alcohol use are more prone to present cognitive impairment than crack cocaine users, especially involving language aspects. Better-preserved cognitive function could impact treatment adherence and might guide the decision of therapeutic strategies. (MMSE easytoapply easy apply functions (AUD andor CUD (CUD Crosssectional Cross sectional 50 245 (24 17 . use) scores. scores) 0001 0 001 0.001 oralwritten oral written attentionmemory attention memory attention/memory 0007 007 0.007 functions) 0.017, 0017 0.017 , 017 0.017) age ≤ ( ≥ years, 0.001. 0.001) users aspects Betterpreserved Better preserved strategies 5 24 (2 1 000 00 0.00 0.01 01 2 0.0 0.

Abstract Alcohol Use Disorder (AUD) is a highly prevalent condition worldwide that produces a wide range of pathophysiological consequences, with a critical impact on health and social issues. Alcohol influences gene expression through epigenetic changes mainly through DNA methylation. In this sense, levels of 5-methylcytosine (5-mC), namely Global DNA methylation (GMe), which can be influenced by environmental and hormonal effects, represent a putative biological mechanism underlying alcohol effects. Our aim was to investigate the influence of AUD diagnosis and alcohol patterns (i.e., years of addiction, use in the last 30 days, and alcohol severity) on GMe levels. The sample consisted of 256 men diagnosed with AUD and 361 men without AUD. DNA samples from peripheral blood were used to assess GMe levels, measured through the levels of 5-mC using high-performance liquid chromatography. Results from multiple linear regression analysis indicated that the presence of AUD was associated with lower GMe levels (beta=-0.155, p=0.011). Other alcohol-related outcomes were not associated with DNA methylation. Our findings are consistent with the hypothesis that the impact of chronic and heavy alcohol use in GMe could be a potential mechanism mediating the multiple organ damages related to AUD. (AUD consequences issues sense 5methylcytosine methylcytosine 5 5mC, 5mC mC , (5-mC) GMe, (GMe) effects i.e., ie i e (i.e. addiction 3 days severity 25 36 highperformance high performance chromatography beta=0.155, beta0155 beta beta= 0.155, 0 155 (beta=-0.155 p=0.011. p0011 p p=0.011 . 011 p=0.011) alcoholrelated (5-mC (GMe i.e. (i.e 2 beta=0.155 beta015 0155 0.155 15 (beta=-0.15 p001 p=0.01 01 i.e beta=0.15 beta01 015 0.15 1 (beta=-0.1 p00 p=0.0 beta=0.1 beta0 0.1 (beta=-0. p0 p=0. beta=0. 0. (beta=-0 p=0 beta=0 (beta=- p= (beta= (beta

Objective: To assess differences in blood inflammatory cytokines between people with alcohol use disorder (AUD) and healthy controls (HC). Methods: Searches were performed from inception through April 14, 2021. Meta-analyses with random-effects models were used to calculate the standardized mean difference ([SMD], 95%CI), and potential sources of heterogeneity were explored trough meta-regressions and subgroup analysis. Results: The meta-analysis included 23 studies on the following 14 cytokines: tumor necrosis factor (TNF)-α, IL-1, IL-1RA, IL-2, IL-4, IL-5, IL-6, IL-7, IL-8, IL-10, IL-13, IL15, interferon (IFN)-γ and sCD14. There were significantly higher concentrations of IL-6 (n=462 AUD and 408 HC; SMD = 0.523; 95%CI 0.136-0.909; p = 0.008) in AUD than HC. No significant differences were found in the other 13 cytokines. Conclusion: We found that IL-6 levels were significantly higher in individuals with AUD than HC and that other cytokines were not altered. This can be explained by the small number of studies, their methodological heterogeneity, and confounding factors (active use, abstinence, quantity, and physical or psychiatric illnesses, for example). Despite a great deal of evidence about alcohol and inflammatory diseases, studies assessing the role of neuroimmune signaling in the development and severity of AUD are still lacking.

Abstract Introduction Drug-related crimes, especially drug trafficking, account for a large part of incarcerations not only in Brazil, but also worldwide. It is not clear whether the change in the drug law has contributed to the increase in the number of drug trafficking prisoners. Few studies have investigated gender differences and the growth of drug trafficking offenses in the Brazilian southern state of Rio Grande do Sul. Objective To investigate the growth of the prison population in the state of Rio Grande do Sul, emphasizing incarcerations for drug trafficking and gender differences. Method This was an ecological study using secondary data collected from official databases of the Brazilian National Penitentiary Department (Departamento Penitenciário [DEPEN]), affiliated with the Brazilian Ministry of Justice. Results Between 2006 and 2015, incarcerations increased by 27% (25% men, 83% women). Incarcerations for drug trafficking accounted for 11% of total arrests in 2006 (11% men, 20% women) and 45% in 2015 (47% men, 91% women), corresponding to an increase of 427% (415% among men, 723% among women). Conclusions Imprisonment for drug trafficking has increased considerably, especially among women. This may be due to factors such as: increase of drug trafficking, increase in the numbers of gangs in the state, and changes in the Brazilian drug law. These results highlight an emerging challenge in public health from the perspective of human rights and gender.

Objective: To evaluate the association between childhood trauma (CT) and serum levels of brain-derived neurotrophic factor (BDNF) and thiobarbituric acid-reactive substances (TBARS) during crack-cocaine withdrawal. Method: Thirty-three male crack-cocaine users were recruited at admission to a public addiction treatment unit. Serum BDNF and TBARS levels were evaluated at intake and discharge. Information about drug use was assessed by the Addiction Severity Index-6th Version (ASI-6); CT was reported throughout the Childhood Trauma Questionnaire (CTQ). CTQ scores were calculated based on a latent analysis model that divided the sample into low-, medium-, and high-level trauma groups. Results: There was a significant increase in BDNF levels from admission to discharge, which did not differ across CT subgroups. For TBARS levels, we found a significant time vs. trauma interaction (F2,28 = 6.357, p = 0.005,ηp 2 = 0.312). In participants with low trauma level, TBARS decreased, while in those with a high trauma level, TBARS increased during early withdrawal. Conclusion: TBARS levels showed opposite patterns of change in crack-cocaine withdrawal according to baseline CT. These results suggest that CT could be associated with more severe neurological impairment during withdrawal.

Objective: Many studies correlate characteristics of family functioning and the development of drug addiction. This study sought to evaluate and compare the family environment styles of two groups of psychoactive substance users: 1) alcohol-only users and 2) crack-cocaine users. Methods: Three hundred and sixty-four users of alcohol, crack-cocaine, and other drugs, recruited from research centers in four Brazilian capitals participated in this study. Subjects were evaluated through the Family Environment Scale and the Addiction Severity Index, 6th version (ASI-6). ASI-6 t-scores were compared by analysis of variance (ANOVA) and post-hoc tests. A final model was obtained using a logistic regression analysis. All analyses were adjusted for partner, age, and psychiatric t-score. Results: We found a significant difference between groups in the cohesion subscale (p = 0.044). The post-hoc test revealed a difference of 1.06 points (95%CI 0.11-2.01) between groups 1 (6.45±0.28) and 2 (5.38±0.20). No significant between-group differences were observed in the other subscales. However, categorical analyses of variables regarding family dynamic showed that crack users more often reported that sometimes people in their family hit each other (30.4% vs. 13.2%, p = 0.007) and that people in their family frequently compared each other regarding work and/or school achievement (57.2% vs. 42.6%, p = 0.041). Conclusion: These results suggest that families of crack-cocaine users are less cohesive than families of alcohol users. This type of family environment may affect treatment outcome, and should thus be adequately approached.