Document Detail


Measuring attractiveness for abuse of prescription opioids.
MedLine Citation:
PMID:  20002325     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: Prescription opioids are the second most misused/abused drug in the United States behind only marijuana. Recreational prescription opioid users appear to prefer some products over others; however, the extent to which attributes of any particular formulation account for such preferences has yet to be determined. The Opioid Attractiveness Technology Scaling was developed to identify the particular features of a prescription opioid that are relevant to its attractiveness for recreational use, and to use these features to model attractiveness for recreational use of particular prescription opioid formulations. DESIGN: Four hundred and ninety-one self-reported recreational prescription opioid users identified 43 product features as being relevant to determining whether a product is "attractive" or "unattractive" for recreational use. Average ratings were used to determine appropriate weights to be applied to the features. A factor analysis yielded 10, highly differentiated factors. Five hundred and sixty-four prescription opioid abusers were then asked to rate the extent to which the 43 features identified in Study 1 were relevant to specific prescription opioid products they had used. RESULTS: Respondents provided an overall preference rating of these products and a model was created. A random intercept model yielded a significant pseudo R(2) of 0.14 (chi-square = 310.02, degrees of freedom [df] = 10, P < 0.001). The model fit least well, albeit significantly, for abusers who preferred to swallow the drug (pseudo R(2) = 0.06; chi-square = 55.52, df = 10, P < 0.001) and best for those who preferred to inject (pseudo R(2) = 0.37; chi-square = 199.34, df = 10, P < 0.001). CONCLUSIONS: The relevance of the model is discussed along with possible modifications that might allow prediction of "attractiveness" of "abuse deterrent" formulations that have not yet been marketed.
Authors:
Stephen F Butler; Kathrine C Fernandez; Alan Chang; Christine Benoit; Leslie C Morey; Ryan Black; Nathaniel Katz
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2009-11-25
Journal Detail:
Title:  Pain medicine (Malden, Mass.)     Volume:  11     ISSN:  1526-4637     ISO Abbreviation:  Pain Med     Publication Date:  2010 Jan 
Date Detail:
Created Date:  2010-05-07     Completed Date:  2010-08-12     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  100894201     Medline TA:  Pain Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  67-80     Citation Subset:  IM    
Affiliation:
Inflexxion, Inc., Newton, Massachusetts, USA. sfbutler@inflexxion.com
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MeSH Terms
Descriptor/Qualifier:
Adolescent
Adult
Aged
Aged, 80 and over
Analgesics, Opioid*
Chemistry, Pharmaceutical
Child
Data Interpretation, Statistical
Demography
Drug Costs
Female
Health Surveys
Humans
Internet
Male
Middle Aged
Models, Psychological
Opioid-Related Disorders / economics,  psychology*
Pain / complications
Prescription Drugs*
Young Adult
Chemical
Reg. No./Substance:
0/Analgesics, Opioid; 0/Prescription Drugs

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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