Professor of Psychiatry
Education and Training
Director, NIDA T32 Training program in epidemiology, services and prevention research.
Founder, Psychitric and Behavioral Health Sciences (PBHS) Concentration, Master of Population Health Sciences (MPHS).
Preceptor; Predoctoral clinical research training program, K12 multidisciplinary clinical scholars career development program.
Independent Scientist Award -II (1999-2004)
Nihon Koteisho Kyokai Foundation award (2004)
Areas of Clinical Interest
Military deployment heath; Veteran populations; Posttraumatic stress disorder (PTSD); Drug dependence and abuse; Human-genome epidemiology (substance abuse, health disparity research); Prevention
Areas of Research Interests
Longitudinal component: This component continues with data anaysis and findings dissemination of longitudinal surveys on a national sample of Vietnam veterans and marched controls consisting of 1972 baseline, 1974 follow-up, and 1996-7 follow-up and the last followup of 2001-2006 to examine long-term effects of war exposure, drug and alcohol abuse, psychiatric disorders and life events including suicidality up to middle life.
Common biological and psychosocial mechanisms of PTSD and drug abuse comorbidity are currently proposed both with use of the existing cohort of Vietnam veterans and with a new cohort from Operation Iraqi Freedom and Operation Enduring Freedom (OIF/OEF). A current project addresses in-deployment and post-deployment mental health (e.g., PTSD) and reintegration issues working with Missouri National Guard and the Department of Defense. Stigma reduction program is being implemented.
Human-genome epidemiology component: A series of integrated studies are planned to delineate complex relationships of genetic and environmental effects on substance abuse. Conceptual and analytical integrations are attempted to bridge human genome epidemiology to health disparity relating to substance abuse by introduction of molecular evolutionary genetics to race/ethnicity. Candidate genes focus on the genes that encoding on drug-metabolizing enzymes for which unique polymorphisms are found among Asian populations.
Methodological enhancement: A general aim is to identify and implement non-traditional techniques that will help in selecting better measures and analytically improve prediction. Genetic algorithms, tree based regressions, and artificial neural-network models have been successfully applied to large-scale epidemiologic data and were found to improve predictive power.
Price RK, Spitznagel, EL, Downey TJ, Meyer DJ, Risk NK, El-Ghazzawy OG: Applying artificial neural-network models to clinical decision-making. Psychological Assessment 2000; 12:40-51.
Price RK, Risk NK, Spitznagel EL: Remission from illicit drug use over a 25-period: Patterns of remission and treatment use. Am J Pub Health 2001; 91:1107-1113.
Price RK, Risk NK, Murray KS, Virgo KS, Spitznagel EL: Twenty-five year mortality of U.S. servicemen deployed in Vietnam: Predictive utility of early drug use. Drug Alc Depend 2001; 64:309-318.
Price RK, Risk NK, Wong MW, Klingle RS: Substance use and abuse in Asian American and Pacific Islanders (AAPIs): Preliminary results from four national epidemiologic studies. Pub Health Rep 2002; 117:S39-50.
Price RK, Risk, NK, Haden AH, Lewis CE, Spitznagel EL: Post-traumatic stress disorder, drug dependence and suicidality among male Vietnam veterans with a history of heavy drug use. Drug Alc Dep 2004; 76S:31-43.
Price RK. Washington University Vietnam Era Study. In Korsmeyer P, Kranzer H (Eds.), Encyclopedia of Drugs, Alcohol & Addictive Behavior, 2008; 280-282.
Funded Research Projects
NIDA (Dirctor): T32 Training grant in epidemiology, services and prevention research
NIMH(PI):Follow-Up of Vietnam Veterans at Risk for Suicide
NIDA(PI):Disentangling Substance Use and Psychiatric Disorder Comorbidity for Future HuGE
DoD DMRDP (PI): Family as a Total Package (FAMPAC): Restoring and Enhancing Psychological Health of Citizen Soldiers.
Barns-Jewish Hospital Foundation and Washington University Institute of Clinical and Translational Sciences (PI): Planning for a StrongMind stigma reduction in the National Guard.