Key Data Gaps for Understanding Trends in Prescription Opioid Analgesic Abuse and Diversion Among Chronic Pain Patients and Nonmedical UsersSystems Science Faculty Publications and Presentations
SponsorThis work was funded under contract from Purdue Pharma L.P.
- System theory,
- Drugs -- Research -- United States,
- Opioid abuse,
- Opioid abuse -- Forecasting
AbstractPopulation 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.
Citation InformationWakeland, 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