کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1070119 949334 2012 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Common liability to addiction and “gateway hypothesis”: Theoretical, empirical and evolutionary perspective
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب رفتاری
پیش نمایش صفحه اول مقاله
Common liability to addiction and “gateway hypothesis”: Theoretical, empirical and evolutionary perspective
چکیده انگلیسی

BackgroundTwo competing concepts address the development of involvement with psychoactive substances: the “gateway hypothesis” (GH) and common liability to addiction (CLA).MethodThe literature on theoretical foundations and empirical findings related to both concepts is reviewed.ResultsThe data suggest that drug use initiation sequencing, the core GH element, is variable and opportunistic rather than uniform and developmentally deterministic. The association between risks for use of different substances, if any, can be more readily explained by common underpinnings than by specific staging. In contrast, the CLA concept is grounded in genetic theory and supported by data identifying common sources of variation in the risk for specific addictions. This commonality has identifiable neurobiological substrate and plausible evolutionary explanations.ConclusionsWhereas the “gateway” hypothesis does not specify mechanistic connections between “stages”, and does not extend to the risks for addictions, the concept of common liability to addictions incorporates sequencing of drug use initiation as well as extends to related addictions and their severity, provides a parsimonious explanation of substance use and addiction co-occurrence, and establishes a theoretical and empirical foundation to research in etiology, quantitative risk and severity measurement, as well as targeted non-drug-specific prevention and early intervention.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Drug and Alcohol Dependence - Volume 123, Supplement 1, June 2012, Pages S3–S17
نویسندگان
, , , , , , , , , , , , ,