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  • Title: [Description of medicosocial profiles of pharmacodependent subjects consulting addictology centres using a computerized database].
    Author: Landreat MG, Vigneau CV, Bronnec MG, Sebille-Rivain V, Venisse JL, Jolliet P.
    Journal: Encephale; 2011 Dec; 37(6):418-24. PubMed ID: 22137213.
    Abstract:
    INTRODUCTION: Lots of similar vulnerabilities to substance use disorders are described in the literature: clinical, genetics, family, environment, etc. Although, when we follow up patients, we know perfectly well that there are also differences due to the substance mainly causing addiction. But we found very little research on the differences between various substance use disorders according to the substance mainly causing dependence. HYPOTHESIS: Our main hypothesis was that significant differences do not exist in medical and social data between patients with substance use disorders according to the substance mainly used. We expected to find significant differences between illegal substance use disorders (opiates, cocaine, cannabis) and legal substance use disorders (BZD, alcohol). OBJECTIVE: Our study aimed to identify differences between patients with substance related disorders in medical and social data according to the main addictive substance. MATERIAL AND METHOD: A specific software has been created by the CEIP and the Department of Addictology of Nantes University Hospital. Anonymous data were gathered and all patients gave their written consent. This database has been declared to CNIL (number 1350706). All data have been directly collected by the physician during medical consultation. The following data were recorded during the first medical examination: age, sex, illicit substance use, prior criminal record or psychiatric disorders, prior addictive behaviours among relatives and/or friends, family history (divorce, separation, abandonment). Other data were gathered prospectively: socioprofessional insertion, marital status, drug prescriptions (time and duration). RESULTS: We found significant differences in social (age, sex) and medical data (prior psychiatric disorders) between patients according to the substance causing dependence. We identified five profiles depending on the substance: cannabis, cocaine, heroin, alcohol and benzodiazepine. DISCUSSION: We clearly identified different types of patient's profiles according to substances mainly causing addiction. These differences can modify our strategies of prevention and treatment, so as to meet patients' needs better.
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