RESUMO
Background The persisting challenge of substance use disorder's impact on society prompts the need for insights into its mortality trends. This study examines epidemiological patterns and factors tied to mortality rates in individuals with psychoactive substance-related mental and behavioral disorders from 1999 to 2020. Methodology This study used a retrospective observational design. The study analyzed the Centers for Disease Control and Prevention's (CDC) Wide-ranging Online Data for Epidemiologic Research (WONDER) database information, encompassing mortality and population-based data. Data extraction focused on specific criteria such as age, sex, race/ethnicity, and geographic location. Descriptive statistics were employed to depict the study population and reveal epidemiological trends. Results The study encompassed data from 239,573 individuals who died due to psychoactive substance use-related mental and behavioral disorders between 1999 and 2020. The overall mortality rate was 3.55 per 100,000 individuals (95% confidence interval (CI) = 3.55-3.54) across the study period. Noticeable discrepancies in mortality rates emerged among various geographic regions, genders, races, and age groups. Males (5.32 per 100,000 individuals) experienced notably higher mortality rates than females (1.80 per 100,000 individuals), while the 55-64 age group faced elevated mortality risks (8.24 per 100,000 individuals) compared to the 25-34 age group (1.71 per 100,000 individuals). Significant variations in mortality rates were also evident across different racial and ethnic groups. Conclusions Between 1999 and 2020, the study explored mortality rates in individuals with psychoactive substance use-related mental and behavioral disorders. This analysis revealed variations in mortality across genders, ages (with the 55-64 age group facing higher risks compared to the 25-34 age group), and ethnicities. Notably, males exhibited higher mortality than females. Additionally, divergent rates were observed among different geographic regions. These insights can inform public health initiatives and support the development of targeted strategies to reduce mortality rates and improve the well-being of affected individuals.
