Related Experiment Video
Updated: Jul 4, 2025

The Motivation for Alcohol Reward: Predictors of Progressive-Ratio Intravenous Alcohol Self-Administration in Humans
Published on: April 28, 2022
Comparing the Addiction Severity Index (ASI) and Measurements in the Addictions for Triage and Evaluation (MATE)
Anderson Sousa Martins-da-Silva1, Wélissa da Silva Moura2, Ciro Marco3
1Department of Psychiatry, Medical School, University of São Paulo, São Paulo, Brazil.
Abstract:
Substance use disorder (SUD) assessment and measurement in Brazil, as well as in many other countries, face significant shortcomings. The Measurement in the Addictions for Triage and Evaluation (MATE) was developed as a public domain tool, drawing from validated scales and incorporating World Health Organization International Classification of Functioning, Disability, and Health (ICF) framework. The Brazilian version of the MATE (MATE-pt-BR) was evaluated for its reliability and validity, with a total of 239 subjects participating in the study, and data collected between 11/01/2021 and 09/01/2022. The majority were male (79.2%), with diverse racial backgrounds. The substances most prevalently used in the last 30 days were. Alcohol (73.2%), nicotine (63.6%), and cocaine (44.2%). The mean scores for MATE modules showed variations, with Module Q2 assessing psychological well-being having high internal consistency (Cronbach's alpha = 0.92). MATE-pt-BR demonstrated robust internal consistency, with Module 6 (personality) and Module 2 (medical and psychiatric consultation indicators) being exceptions. MATE-pt-BR exhibited significant correlations among its sections and strong discriminant validity. Moreover, the paper compares MATE-pt-BR with the Addiction Severity Index (ASI-6), which is considered the gold-standard measure for SUD assessments. MATE-pt-BR offers a valuable tool for assessing substance use and related functional impairments in the Brazilian context.
More Related Videos
08:25Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment
Published on: December 6, 2024
08:53Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
Related Concept Videos
Drug Abuse and Addiction: Pharmacological Phenomena
Diagnostic and Statistical Manual of Mental Disorders (DSM)