Authors
Nastaran Eizadi-Mood, Maryam Rajaeizadeh, Awat Feizi, Razieh Yazdi, Amin Dorostkar, Parisa Mirmoghtadaee, Rokhsareh Meamar
Published in
Journal of applied toxicology : JAT. Jul 31, 2026. Epub Jul 31, 2026.
Abstract
Pharmaceutical poisoning is a major health concern and a leading method of intentional self-poisoning. In Iran, broad medication access has increased the burden, yet factors distinguishing intentional from accidental exposures remain underexplored. This study aimed to identify the determinants of intentional pharmaceutical poisoning using both traditional statistical methods and machine learning techniques. We conducted a cross-sectional study at a referral poisoning center in Isfahan, Iran, between January 2015 and December 2019. Medical records of patients admitted with pharmaceutical poisoning were reviewed for demographics, toxicological characteristics, and past history. Univariate logistic regression assessed determinants of intentional poisoning. A multilayer perceptron (MLP) neural network evaluated variable importance and discrimination. Among 3096 eligible patients, 94.4% were intentional cases. Mean (SD) age of intentional cases was 32.14 (10.74) years, predominantly 20-40 years. Logistic regression identified female sex (OR: 2.01; 95% CI: 1.47-2.73), age 20-40 (OR: 9.85; 95% CI: 6.79-14.29), age 41-60 (OR: 4.80; 95% CI: 2.94-7.85), and history of psychiatric disease (OR: 1.54; 95% CI: 1.03-2.30) as significant determinants. The MLP showed strong discrimination (AUC: 0.859); age, number of children, education, and history of psychiatric disease were top predictors. Efforts should prioritize family and social support, mitigation of educational/occupational stressors, early psychiatric screening, timely psychological care, and community-based programs to identify and protect high-risk groups and reduce recurrence.
PMID:
42538770
Bibliographic data and abstract were imported from PubMed on 01 Aug 2026.
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