Literature DB >> 20002325

Measuring attractiveness for abuse of prescription opioids.

Stephen F Butler1, Kathrine C Fernandez, Alan Chang, Christine Benoit, Leslie C Morey, Ryan Black, Nathaniel Katz.   

Abstract

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.

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Year:  2009        PMID: 20002325     DOI: 10.1111/j.1526-4637.2009.00736.x

Source DB:  PubMed          Journal:  Pain Med        ISSN: 1526-2375            Impact factor:   3.750


  19 in total

Review 1.  Opioid formulations designed to resist/deter abuse.

Authors:  Robert B Raffa; Joseph V Pergolizzi
Journal:  Drugs       Date:  2010-09-10       Impact factor: 9.546

2.  Assessment of a formulation designed to be crush-resistant in prescription opioid abusers.

Authors:  Suzanne K Vosburg; Jermaine D Jones; Jeanne M Manubay; Judy B Ashworth; Irma H Benedek; Sandra D Comer
Journal:  Drug Alcohol Depend       Date:  2012-06-20       Impact factor: 4.492

Review 3.  [Misuse of opioid analgesics. An internet analysis].

Authors:  R Krüger; W Meißner; A Zimmer
Journal:  Schmerz       Date:  2014-10       Impact factor: 1.107

4.  Utilizing social media to explore overdose and HIV/HCV risk behaviors among current opioid misusers.

Authors:  Patricia Cavazos-Rehg; Richard Grucza; Melissa J Krauss; Austin Smarsh; Nnenna Anako; Erin Kasson; Nina Kaiser; Samantha Sansone; Rachel Winograd; Laura J Bierut
Journal:  Drug Alcohol Depend       Date:  2019-10-28       Impact factor: 4.492

5.  Risk based in vitro performance assessment of extended release abuse deterrent formulations.

Authors:  Xiaoming Xu; Abhay Gupta; Manar Al-Ghabeish; Silvia N Calderon; Mansoor A Khan
Journal:  Int J Pharm       Date:  2016-01-16       Impact factor: 5.875

6.  Comparing the feasibility of four web-based recruitment strategies to evaluate the treatment preferences of rural and urban adults who misuse non-prescribed opioids.

Authors:  Elizabeth C Saunders; Alan J Budney; Patricia Cavazos-Rehg; Emily Scherer; Lisa A Marsch
Journal:  Prev Med       Date:  2021-09-07       Impact factor: 4.018

7.  A comparison among tapentadol tamper-resistant formulations (TRF) and OxyContin® (non-TRF) in prescription opioid abusers.

Authors:  Suzanne K Vosburg; Jermaine D Jones; Jeanne M Manubay; Judy B Ashworth; Douglas Y Shapiro; Sandra D Comer
Journal:  Addiction       Date:  2013-03-13       Impact factor: 6.526

8.  Designing opioids that deter abuse.

Authors:  Robert B Raffa; Joseph V Pergolizzi; Edmundo Muñiz; Robert Taylor; Jason Pergolizzi
Journal:  Pain Res Treat       Date:  2012-11-08

9.  Validity testing of patient objections to acceptance of tamper-resistant opioid formulations.

Authors:  Charles E Argoff; Steven P Stanos; Matthew S Wieman
Journal:  J Pain Res       Date:  2013-05-16       Impact factor: 3.133

Review 10.  Oxycodone in the Opioid Epidemic: High 'Liking', 'Wanting', and Abuse Liability.

Authors:  Cherkaouia Kibaly; Jacob A Alderete; Steven H Liu; Hazem S Nasef; Ping-Yee Law; Christopher J Evans; Catherine M Cahill
Journal:  Cell Mol Neurobiol       Date:  2020-11-27       Impact factor: 4.231

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