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Key Data Gaps for Understanding Trends in Prescription Opioid Analgesic Abuse and Diversion Among Chronic Pain Patients and Nonmedical Users
Systems Science Faculty Publications and Presentations
  • Wayne W. Wakeland, Portland State University
  • John Fitzgerald, Purdue Pharma L. P.
  • Aaron Gilson, University of Wisconsin - Madison
  • J. David Haddox, Purdue Pharma L.P.
  • Jack Homer, Homer Consulting
  • Lewis Lee, Amiril Consulting
  • Louis Macovsky, Dynamic BioSystems
  • Dennis McCarty, Oregon Health & Science University
  • Teresa D. Schmidt, Portland State University
  • Lynn Webster, LifeTree Medical
Document Type
Publication Date
  • System theory,
  • Drugs -- Research -- United States,
  • Opioid abuse,
  • Opioid abuse -- Forecasting
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.

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

Persistent Identifier
Citation Information
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