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dc.contributor.authorWhite, Clair
dc.contributor.authorReady, Justin
dc.contributor.authorKatz, Charles M.
dc.date.accessioned2017-10-18T00:41:06Z
dc.date.available2017-10-18T00:41:06Z
dc.date.issued2016
dc.identifier.issn0022-0426
dc.identifier.doi10.1177/0022042615608502
dc.identifier.urihttp://hdl.handle.net/10072/349019
dc.description.abstractThe rise in prescription drug abuse is changing crime patterns among drug users and the structure of illegal drug markets. The illegal distribution of prescription drugs is different from traditional street drug markets because prescription drugs can be obtained from multiple sources including doctors, pharmacies, friends, and street-level dealers. Drawing from drug-market research, this article investigates whether there are individual and ecological predictors of how prescription drugs are illegally obtained. Our study uses multilevel analyses to examine a random sample of 366 drug offenders arrested in Maricopa County, Arizona. Our findings indicate that individual-level characteristics such as mental illness and street drug use, as well as residential mobility within neighborhoods, are significant predictors of how prescription drugs are obtained for nonmedical purposes. This research suggests that an individual’s routine activities and neighborhood characteristics are related to their methods for obtaining prescription drugs. Theoretical and policy implications are discussed.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherFlorida State University
dc.relation.ispartofpagefrom4
dc.relation.ispartofpageto23
dc.relation.ispartofissue1
dc.relation.ispartofjournalJournal of Drug Issues
dc.relation.ispartofvolume46
dc.subject.fieldofresearchPublic Health and Health Services not elsewhere classified
dc.subject.fieldofresearchPublic Health and Health Services
dc.subject.fieldofresearchPsychology
dc.subject.fieldofresearchcode111799
dc.subject.fieldofresearchcode1117
dc.subject.fieldofresearchcode1701
dc.titleExamining how prescription drugs are illegally obtained: Social and ecological predictors
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.hasfulltextNo Full Text
gro.griffith.authorReady, Justin T.


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