Linked Life Data

15128378

Source:http://linkedlifedata.com/resource/pubmed/id/15128378

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2004-5-6
pubmed:abstractText
This review of negative reinforcement models of drug dependence is part of a series that takes the position that a complete understanding of current concepts of dependence will facilitate the development of reliable and valid measures of the emergence of tobacco dependence. Other reviews within the series consider models that emphasize positive reinforcement and social learning/cognitive models. This review summarizes negative reinforcement in general and then presents four current negative reinforcement models that emphasize withdrawal, classical conditioning, self-medication and opponent-processes. For each model, the paper outlines central aspects of dependence, conceptualization of dependence development and influences that the model might have on current and future measures of dependence. Understanding how drug dependence develops will be an important part of future successful tobacco dependence measurement, prevention and treatment strategies.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0965-2140
pubmed:author
pubmed:issnType
Print
pubmed:volume
99 Suppl 1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
5-29
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
Measuring the emergence of tobacco dependence: the contribution of negative reinforcement models.
pubmed:affiliation
Department of Psychology and Institute for Drug and Alcohol Studies, Virginia Commonwealth University, VA, USA. teissenb@vcu.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Review, Research Support, Non-U.S. Gov't