Literature DB >> 20462706

Measuring addiction propensity and severity: the need for a new instrument.

Kevin P Conway1, Janet Levy, Michael Vanyukov, Redonna Chandler, Joni Rutter, Gary E Swan, Michael Neale.   

Abstract

Drug addiction research requires but lacks a valid and reliable way to measure both the risk (propensity) to develop addiction and the severity of manifest addiction. This paper argues for a new measurement approach and instrument to quantify propensity to and severity of addiction, based on the testable assumption that these constructs can be mapped onto the same dimension of liability to addiction. The case for this new direction becomes clear from a critical review of empirical data and the current instrumentation. The many assessment instruments in use today have proven utility, reliability, and validity, but they are of limited use for evaluating individual differences in propensity and severity. The conceptual and methodological shortcomings of instruments currently used in research and clinical practice can be overcome through the use of new technologies to develop a reliable, valid, and standardized assessment instrument(s) to measure and distinguish individual variations in expression of the underlying latent trait(s) that comprises propensity to and severity of drug addiction. Such instrumentation would enhance our capacity for drug addiction research on linkages and interactions among familial, genetic, psychosocial, and neurobiological factors associated with variations in propensity and severity. It would lead to new opportunities in substance abuse prevention, treatment, and services research, as well as in interventions and implementation science for drug addiction. Published by Elsevier Ireland Ltd.

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Year:  2010        PMID: 20462706      PMCID: PMC2930133          DOI: 10.1016/j.drugalcdep.2010.03.011

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  115 in total

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  17 in total

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Journal:  Drug Alcohol Depend       Date:  2011-06-29       Impact factor: 4.492

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7.  Understanding Addiction Using Animal Models.

Authors:  Brittany N Kuhn; Peter W Kalivas; Ana-Clara Bobadilla
Journal:  Front Behav Neurosci       Date:  2019-11-29       Impact factor: 3.558

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Authors:  Levent Kirisci; Ralph Tarter; Maureen Reynolds; Ty Ridenour; Clement Stone; Michael Vanyukov
Journal:  Drug Alcohol Depend       Date:  2012-03-04       Impact factor: 4.492

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Authors:  Brian M Hicks; William G Iacono; Matt McGue
Journal:  Dev Psychopathol       Date:  2013-11-26
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