Development, Content Validation and Usability of a Chatbot for Disseminating Scientific Information About Cannabis Among Young Adults.

Despite the high prevalence of cannabis consumption, there is limited information about cannabis based on scientific evidence available and targeted toward young adults, especially considering accessible language and ease of access. The present study aimed to develop the proof of concept of a chatbot for the dissemination of evidence and scientific information about cannabis, focused on a young adult audience. The proof of concept involved stages of literature review, conversation flow development, content evaluation through a panel of experts ( = 10) and usability analysis using a sample of potential users (young adults,  = 10).

Hematological inflammatory biomarkers in patients with alcohol and cocaine use disorders.

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.

Serum BDNF levels increase during early drug withdrawal in alcohol and crack cocaine addiction.

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.

A rapid review of machine learning approaches for telemedicine in the scope of COVID-19.

The COVID-19 pandemic has rapidly spread around the world. The rapid transmission of the virus is a threat that hinders the ability to contain the disease propagation. The pandemic forced widespread conversion of in-person to virtual care delivery through telemedicine.

Early discharge predictors among inpatients crack cocaine users.

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.

First and second COVID-19 waves in Brazil: A cross-sectional study of patients' characteristics related to hospitalization and in-hospital mortality.

Background: Background The second wave of the COVID-19 pandemic was more aggressive in Brazil compared to other countries around the globe. Considering the Brazilian peculiarities, we analyze the in-hospital mortality concerning socio-epidemiological characteristics of patients and the health system of all states during the first and second waves of COVID-19.

Methods: We performed a cross-sectional study of hospitalized patients with positive RT-PCR for SARS-CoV-2 in Brazil.

The next pandemic: impact of COVID-19 in mental healthcare assistance in a nationwide epidemiological study.

Background: Studies have reported the worsening of psychiatric symptoms during the COVID-19 pandemic. However, few studies have evaluated the impact on the access to mental health services during COVID-19. Our aim was to analyze temporal trends and prediction of appointments held in Brazil's public health system, to compare the observed and expected number of mental healthcare appointments during the COVID-19 pandemics.

Making the COVID-19 Pandemic a Driver for Digital Health: Brazilian Strategies.

The COVID-19 outbreak exposed several problems faced by health systems worldwide, especially concerning the safe and rapid generation and sharing of health data. However, this pandemic scenario has also facilitated the rapid implementation and monitoring of technologies in the health field. In view of the occurrence of the public emergency caused by SARS-CoV-2 in Brazil, the Department of Informatics of the Brazilian Unified Health System created a contingency plan.

Increase in serum brain-derived neurotrophic factor levels during early withdrawal in severe alcohol users.

Introduction: Changes in brain-derived neurotrophic factor (BDNF) have been linked to the neuroadaptative consequences of chronic alcohol use and associated with disease severity and prognosis. Few studies have evaluated the influence of drug withdrawal and clinical and sociodemographic data on BDNF levels in severe alcohol users.

Objectives: Our goals were (1) to evaluate variation in BDNF levels during alcohol withdrawal and, (2) to assess the influence of putative confounding factors on BDNF levels.

Anger and substance abuse: a systematic review and meta-analysis.

Objective: Conduct a systematic review and meta-analysis to evaluate levels of anger among substance users compared to non-user controls and to analyze the possible association between anger and psychoactive substance use (PSU).

Methods: The procedures of this review followed the Meta-Analyzes of Observational Studies in Epidemiology (MOOSE) and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Four electronic databases (MEDLINE, EMBASE, BIREME, PsycINFO) were searched.

Obsessive-compulsive disorder reinforcement during the COVID-19 pandemic.

The COVID-19 pandemic is unquestionably impacting on the mental health of the population worldwide. Fear of contamination can both increase levels of stress in healthy individuals and intensify psychiatric symptoms in patients with pre-existing conditions, especially obsessive-compulsive disorder (OCD). During the COVID-19 pandemic, the imminent risk of contamination creates a logical need for self-surveillance and hygiene habits.

From phone use to speeding and driving under influence: Identifying clusters of driving risk behaviors as an opportunity for targeted interventions.

Identifying the profile of risky behaviors among drivers is central to propose effective interventions. Due to the multidimensional and overlapping aspects of risky driving behaviors, cluster analysis can provide additional insights in order to identify specific subgroups of risk. This study aimed to identify clusters of driving risk behavior (DRB) among car drivers, and to verify intra-cluster differences concerning clinical and sociodemographic variables.

Drug use and driving behaviors among drivers with and without alcohol-related infractions.

Introduction: Brazil is one of the countries with the highest rates of alcohol-related traffic infractions, but little is known about the profile of the drivers who commit them. Identifying the characteristics of impaired drivers is essential for planning preventive actions.

Objective: To compare drug use and driving behavior profiles of drivers with and without alcohol-related infractions.

High rates of incarceration due to drug trafficking in the last decade in southern Brazil.

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.

Modulation of neuropeptide Y levels is impaired in crack withdrawal patients.

Introduction The dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis has a key role in drug addiction susceptibility. In addition to the well-known relationship between cortisol and the HPA axis, other molecules are involved with stress response and could modify the HPA activation, such as the neuropeptide Y (NPY), which has anxiolytic proprieties. There are few studies evaluating the effect of NPY levels on addiction, especially in crack cocaine dependence.

The COVID-19 pandemic and its impact on substance use: Implications for prevention and treatment.

The COVID-19 pandemic has brought major challenges to healthcare systems and public health policies globally, as it requires novel treatment and prevention strategies to adapt for the impact of the pandemic. Individuals with substance user disorders (SUD) are at risk population for contamination due to multiple factors-attributable to their clinical, psychological and psychosocial conditions. Moreover, social and economic changes caused by the pandemic, along with the traditional difficulties regarding treatment access and adherence-will certainly worsen during this period, therefore aggravate their condition.

Increased cortisol levels are associated with low treatment retention in crack cocaine users.

Background: Dysregulation of the hypothalamic-pituitaryadrenal (HPA) axis has been associated with craving and early relapse among individuals with substance use disorders. However, no association has been postulated regarding treatment retention and prognosis in crack cocaine users.

Objective: Our aim was to investigate the association between morning salivary cortisol levels and treatment retention in crack cocaine users.