Key Data Gaps for Understanding Trends in Prescription Opioid Analgesic Abuse and Diversion Among Chronic Pain Patients and Nonmedical Users

Authors

Wayne W. Wakeland, Portland State UniversityFollow
John Fitzgerald, Purdue Pharma L. P.
Aaron Gilson, University of Wisconsin - Madison
J. David Haddox, Purdue Pharma L.P.
Jack Homer, Homer ConsultingFollow
Lewis Lee, Amiril Consulting
Louis Macovsky, Dynamic BioSystems
Dennis McCarty, Oregon Health & Science UniversityFollow
Teresa D. Schmidt, Portland State UniversityFollow
Lynn Webster, LifeTree Medical

Sponsor

This work was funded under contract from Purdue Pharma L.P.

Document Type

Poster

Publication Date

6-2010

Subjects

System theory, Drugs -- Research -- United States, Opioid abuse, Opioid abuse -- Forecasting

Abstract

Population dynamics of medical and nonmedical prescription opioid usage and adverse outcomes were modeled. Critical parameter values were determined by their amount of influence on model behavior. Results suggest that closing these data gaps would help researchers to better identify ways to reduce the risk of adverse outcomes.

Description

Poster presentation at the College onProblems of Drug Dependence, 72nd Annual Scientific Meeting, Scottsdale, AZ

Persistent Identifier

http://archives.pdx.edu/ds/psu/17731

Citation Details

Wakeland, W., Lee, L., McCarty, D., Haddox, J. D., Fitzgerald, J., Gilson, A., Homer, J., Macovsky, L., Webster, L., & Schmidt, T. (2010, June). Key data gaps for understanding trends in prescription opioid analgesic abuse and diversion among chronic pain patients and nonmedical users. Poster presentation at the College on Problems of Drug Dependence, 72nd Annual Scientific Meeting, Scottsdale, AZ