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OBJECTIVE: Our aim was to analyze the association between criminal behavior and impulsivity in individuals with drug addiction and investigate whether impulsiveness mediates the relationship between drug use severity and legal problems. METHODS: This cross-sectional study included 773 men diagnosed with addiction (295 alcohol users and 478 users of crack/polysubstance) while undergoing addiction treatment. The BIS-11 and ASI-6 were applied to assess impulsivity, criminal behavior, and drug use. RESULTS: The prevalence of criminal behavior was 41.7% (n = 123) in alcohol users and 64.9% (n = 310) in users of crack/polysubstance. Earlier use of different substances and higher impulsivity scores were observed in individuals with criminal history. Mediation analyses revealed that impulsiveness acts as a mediator factor between substance use and criminal behavior, enhancing the severity of legal problems. CONCLUSION: Our findings can help in deciding on tailored treatment strategies, focusing not only on substance use, but also on the prevention of social problems, criminality, and impulsivity.

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BACKGROUND: Substance use is strongly associated with suicide attempts throughout life. We aimed to investigate the prevalence of suicide attempts (SA) and associated factors in life in patients with Alcohol Use Disorder (AUD). METHODS: The sample consisted of 424 men with AUD who underwent treatment at the Addiction Psychiatry Unit of the Hospital de Clínicas de Porto Alegre. The clinical evaluation included the Addiction Severity Index, the Childhood Trauma Questionnaire, the Barratt Impulsiveness Scale, and the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders. Variables that showed p-value < 0.05 in the bivariate analyses were included in a hierarchical regression model with robust variance to investigate associations with SA in life via estimation of adjusted Prevalence Ratios (PR). RESULTS: The lifetime prevalence of SA among alcohol users was 36.6%. Patients with childhood maltreatment, borderline personality disorder, and higher impulsivity scores had a higher lifetime prevalence of SA. CONCLUSION: Our findings indicate that male inpatient alcoholics present an important prevalence of SA. The study also corroborates the relationship between maltreatment, impulsivity, and borderline personality disorder with SA among inpatients in treatment for AUD.

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BACKGROUND: Shortening telomere length (TL) is an important ageing marker associated with substance use disorder (SUD). However, the influence of psychiatric and clinical comorbidities and alcohol-related outcomes has not been much explored in the context of TL in individuals with alcohol use disorder (AUD) and may be a source of heterogeneity in AUD studies. Therefore, our aim was to investigate the influence of AUD, alcohol-related outcomes, and common psychiatric comorbidities on TL in men with AUD and healthy controls (HC). METHODS: Men with AUD (n = 108, mean age = 52.4, SD = 8.6) were recruited in a detoxification unit, and HC (n = 80, mean age = 50.04, SD = 9.1) from the blood bank, both located in Brazil. HC had no current or lifetime diagnosis of any substance use disorder. Psychiatric comorbidities were assessed using SCID-I. TL ratio was measured in triplicates using quantitative multiplex PCR. RESULTS: Telomere length did not differ between individuals with AUD and HC (p = 0.073) or was associated with AUD-related outcomes, trauma, or clinical comorbidities. Individuals with externalizing disorders had longer TL when comparing with those with internalizing disorders (p = 0.018) or without comorbidity (p = 0.018). CONCLUSION: Our findings indicate that TL was influenced by the presence of psychiatric comorbidity rather than case or control status. These results were adjusted for potential confounders, such as age.

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BACKGROUND: Neutrophil-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelets-lymphocyte ratio (PLR) are biomarkers easy-to-obtain and could be used in clinical practice to verify an inflammatory status and are associated with alcohol use disorder (AUD) and cocaine use disorder (CUD). Our aim was to compare NLR, MLR and PLR among men with AUD and CUD and to assess the relationship between these biomarkers and addiction-related outcomes. METHODS: This is a cross-sectional study comprising 979 inpatient men diagnosed with substance use disorder (391 with AUD and 588 with CUD) under hospital treatment for drug addiction. RESULTS: Individuals with AUD had higher NLR and MLR (p=0.041, p<0.001 respectively) compared to individuals with CUD. In the AUD group, positive correlations between age and MLR (r=0.111; p=0.029), NLR and liver enzymes ALT and AST (r=0.103, p=0.043; r=0.155, p=0.002; respectively), and MLR and ALT, AST and GGT levels were observed (r=0.173, p=0.001; r=0.242, p<0.001; r=0.167, p=0.001, respectively). Individuals with CUD showed a positive correlation between age and NLR (r=0.113; p=0.006). The presence of clinical comorbidities, HIV, HCV and syphilis were not associated with NLR, MLR, and PLR (p>0.05). CONCLUSION: These biomarkers are a rapid and inexpensive way to assess the effects of substance use on the inflammatory profile. Our findings contribute with valuable insights into the distinctive inflammatory profiles associated with AUD and CUD. These insights could guide further research and the development of more studies, which could include control groups, in order to refine the clinical applicability of these biomarkers.

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OBJECTIVE: To investigate the relationship between impulsivity and early trauma through a network analysis in individuals diagnosed with different substance use disorders (SUD). METHODS: This cross-sectional study includes a sample of 556 men with SUD (195 with alcohol use, 157 with crack cocaine use and 214 with multiple substance use). The Childhood Trauma Questionnaire was applied to investigate early trauma and the Barratt Impulsiveness Scale to assess impulsive behavior. The connection between trauma and impulsivity was assessed using network analysis through Fused Graphical Lasso algorithm. RESULTS: No connection was observed between impulsivity and trauma networks in individuals with alcohol use. In cocaine users, networks were linked through the motor domain and sexual abuse nodes. Inversely connections were observed between emotional neglect node and perseverance and not planning nodes. In poly-use, the connection between impulsivity and trauma networks was weak, with cognitive complexity being the node that connects to the trauma network through physical abuse. There were inversely proportional connections between motor domain and emotional neglect nodes, and cognitive instability and physical neglect. CONCLUSIONS: Our results suggest that the relationship between the type of early (childhood) trauma and the expression of impulsivity could lead to a different substance use profile.

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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.

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Aim: To suggest cut-off points for body mass index (BMI) using gestational hypertension, preeclampsia, and gestational diabetes mellitus (GDM) as cardiometabolic conditions in pregnancy. Methods: In this prospective study, singleton pregnant women from the fetal medicine service of the Brazilian Unified Health System were included. The pregnancy, perinatal, and newborn data were obtained from the clinical medical records. Maternal anthropometry included an assessment of weight and height and the prepregnancy BMI evaluation categorized according to the World Health Organization cut-off points. The area under the curve and confidence interval values from receiver operator curves were generated to identify the optimal cut-off points using prepregnancy BMI with better sensitivity and specificity. Results: Data on 218 pregnancies were analyzed, with 57.9% (n = 124) being classified as overweight/obese, 11% (n = 24) with GDM, 6.9% (n = 15) with preeclampsia, and 11.0% (n = 24) with gestational hypertension. The BMI cut-off points for predicting cardiometabolic conditions were 27.52 kg/m2 (S: 66.7%; E: 63.8%) for women with GDM; 27.40 kg/m2 (S: 73.3%; E: 62.4%; S: 79.2%; E: 64.9%; S: 70.3%; E: 66.3%) for women with preeclampsia, gestational hypertension, and gestational hypertension plus preeclampsia, respectively; and 27.96 kg/m2 (S: 69.6%; E: 65.6%) for women with preeclampsia plus GDM. Conclusion: The findings suggest that the optimal prepregnancy BMI cut-off point is around 27 kg/m2 for pregnant women with maternal cardiometabolic conditions.

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Brain-derived neurotrophic factor (BDNF) is involved in several drug-induced brain neuroadaptations. The impact of withdrawal from substances that have different neurological mechanisms on BDNF levels is unclear. Our goal was to compare serum BDNF levels in inpatients with alcohol or crack cocaine use disorders during the early withdrawal period, and to evaluate the association with substance-related outcomes. We performed a follow-up study with 101 men under detoxification treatment (drug preference: alcohol [n = 37] and crack cocaine [n = 64]). Blood samples were collected on the 1st and 15th days of hospitalization to measure serum BDNF levels. Serum BDNF levels increased during the early stage of withdrawal (28.2 ± 10.0 vs. 32.6 ± 13.3, p < 0.001), similarly in individuals with alcohol and crack cocaine use. In the alcohol group, BDNF levels on the 15th day of hospitalization were negatively correlated with age (r = -0.394, p = 0.023). Delta BDNF levels were also negatively correlated with BDNF on the 1st day of hospitalization (p = 0.011). No significant correlation was found regarding substance-related outcomes. This is the first study to compare BDNF levels in alcohol and crack cocaine users undergoing similar treatment conditions. These findings could be related to clinical improvement after abstinence or even to drug withdrawal itself, decreasing neuronal injury. Furthermore, age may be a crucial factor, hindering the recovery of neuroplasticity in alcohol users.

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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.

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OBJECTIVES: To assess alcohol use and perceived change in alcohol consumption (before and during the pandemic) in Brazilians during the COVID-19 pandemic, their correlates, and their associations with depressive, anxiety and co-occurring depressive and anxiety symptoms (D&A). METHODS: This is a cross-sectional study comprising 992 individuals in self-isolation. A self-report questionnaire was used to assess whether participants were drinking during self-isolation and whether they changed their drinking behavior (drinking less, more, or no change) from before to during the pandemic. D&A symptoms were assessed using the Beck Depression and Anxiety Inventories (BDI and BAI). RESULTS: A total of 68.5% of participants reported alcohol consumption during the pandemic, and 22.7% of these reported increased alcohol use. Smoking was positively associated with alcohol consumption during the pandemic. Alcohol consumption was associated with anxiety (OR = 1.40, 95%CI 1.06-1.85, p < 0.01) and D&A (OR = 1.38, 95%CI 1.02-1.87, p = 0.033) symptoms. CONCLUSIONS: Drinking during self-isolation was prevalent and was associated with risk factors for alcohol use disorders. The long-term effects of high drinking rates and increased consumption should be proactively monitored and assessed.

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