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RESEARCH AND PRACTICE |
Linda Simoni-Wastila is with the Department of Pharmaceutical Health Services Research, School of Pharmacy, University of Maryland, Baltimore. Gail Strickler is with the Schneider Institute for Health Policy, Heller Graduate School, Brandeis University, Waltham, Mass.
Correspondence: Requests for reprints should be sent to Linda Simoni-Wastila, PhD, University of Maryland, School of Pharmacy, Department of Pharmaceutical Health Services Research, 515 W Lombard St, Rm 275, Baltimore, MD 21201 (e-mail: lsimoniw{at}rx.umaryland.edu).
| ABSTRACT |
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We estimate the prevalence of and risk factors for the problem use of prescription drugs, overall and by therapeutic class. Applying logistic regression analysis to data from the National Household Survey on Drug Abuse,1 we found that nearly 1.3 million Americans aged 12 years and older experience problem use of prescription drugs signifying physiological dependence or heavy daily use. Those at greatest risk include older adults, females, those in poor/fair health, and daily alcohol drinkers.
| INTRODUCTION |
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| METHODS |
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Nonmedical prescription drug users were designated problem users if they met criteria for dependency/heavy use. Dependency required meeting 2 of 5 criteria: (1) inability to cut down; (2) getting less work done; (3) using substance in past month and being depressed, argumentative, anxious, or upset, feeling isolated, and/or having health problems and/or difficulty thinking clearly; (4) needing larger amounts; or (5) experiencing withdrawal symptoms.7,8 As defined in the NHSDA, heavy use is daily nonmedical use of 1 or more prescription drugs for at least 2 weeks in the past year.46
Explanatory variable selection was guided by earlier studies911 and literature review1223 of the medical and nonmedical use of abusable prescription drugs. Covariates incorporated on this basis include race, age, gender, marital status, urbanicity, education, work status, health insurance, income, and general health status. Daily alcohol use and past-year use of illicit drugs controlled for polysubstance use.
Multivariate logistic regression analysis was used to model the probability of problem use of any prescription drug, as well as of narcotic analgesics, minor tranquilizers, stimulants, and sedative-hypnotics. Analyses were conducted with SAS (SAS Institute, Inc, Cary, NC) and SUDAAN (Research Triangle Institute, Research Triangle Park, NC) to adjust for the clustering inherent in the NHSDA.24,25 To account for the stratified sampling design of the NHSDA, prevalence and logistic estimates were weighted to provide nationally representative demographic and use patterns.24,25
| RESULTS |
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| DISCUSSION |
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Although recent NHSDA reports document the relative stability of nonmedical drug use over time,1,30 further analysis using current data is needed to corroborate the prevalence of problem use of prescription drugs. Also, these findings are likely conservative estimates due to underreporting associated with the NHSDA and other self-report data.31,32 Finally, definitions of nonmedical use, dependency, heavy use, and problem use, although used elsewhere,7 require further validation and refinement.
Despite these limitations, this study is the first to estimate the prevalence of problem use of prescription drugs potentially requiring treatment and associated risk factors. Further studies are needed to explore alcohol and drug use patterns and risk factors among polysubstance users. Research also is required to provide an improved understanding of the continuum comprising medical exposure, nonmedical use, and problem use of prescription drugs with addiction potential.
| Acknowledgments |
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Human Participant Protection
The Brandeis University institutional review board exempted this research from human subjects review because it employs public-use secondary data.
| Footnotes |
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Accepted for publication February 27, 2003.
| References |
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