Trends in nonheroin opioid abuse admissions: 1992-2004
DOI:
https://doi.org/10.5055/jom.2007.0007Keywords:
nonheroin opioid abuse, admissions, trendsAbstract
Aims: This study examines trends for treatment admissions for nonheroin opioid abuse from 1992 to 2004.Methods: Databases from the Substance Abuse Mental Health Services Administration (SAMHSA, USA): Treatment Episode Data Set (TEDS) were used to examine the changing characteristics of admissions to treatment for nonheroin opioid abuse. Data are collected annually from each state on characteristics of admissions to treatment for all substances abused in the United States. Using the Mann-Kendall test for examining annual trends, we determined any significant trend changes by modeling data for every 2 years of TEDS information from 1992 to 2004.
Results: We found significant changes for admissions to substance abuse treatment from 1992 to 2004. Overall, nonheroin opioid admissions to treatment have increased, specifically among adolescents. Other significant trends included an increase in the never-married group admitted, a higher rate of psychiatric problems for nonheroin opioid abuse admissions, changes in the treatment services and significant associations between age of first use of marijuana and methamphetamine, and subsequent nonheroin opioid abuse admissions.
Conclusion: Characteristics of admissions to treatment are changing over time and identify an admitted treatment group that is historically different from heroin abusers. These findings will give providers information about who is seeking treatment for nonheroin opiate abuse. Altered treatment strategies that target the changing population who seek treatment for nonheroin opioid abuse need to be universally available.
References
Weppner RS: “Cheap kicks”: Codeine cough syrup abusers and some other social characteristics. Int J Addict. 1971; 6: 647-660.
Joranson DE, Ryan KM, Gilson AM, et al.: Tends in medical use and abuse of opioid analgesics. JAMA. 2000; 283: 1710-1714.
Boyd CJ, McCabe SE, Cranford JA, et al.: Adolescents’ motivation to abuse prescription drugs. Pediatrics. 2006; 118: 2472-2480.
Dasgupta N, Kramer DE, Zalman M, et al.: Association between non-medical and prescriptive usage of opioids. Drug Alcohol Depend. 2006; 82: 135-142.
Forman RF, Woody GE, McLellan T, et al.: The availability of web sites offering to sell opioid medications. Am J Psychiatry. 2006; 163: 1233-1238.
Results from the 2003 National Survey on Drug Abuse and Health: National Findings: National Institute of Health Publication No 05-5580. Rockville, MD: Substance Abuse and Mental Health Services Administration, 2005.
Johnston LD, O’Malley PM, Bachman JG, et al.: Monitoring the Future: National Results on Adolescent Drug Use: Overview of Key Findings, 2001. NIH Publication 02-5105. Bethesda, MD: National Institute on Drug Abuse, 2003.
Office of Applied Studies: The DAWN report: Trends in Drug Related Emergency Visits. 1994-2002. Rockville, MD: Substance Abuse and Mental Health Service Administration, Nov 2003.
Brands B, Blake J, Sproule B, et al.: Prescription opioid abuse in patients presenting for methadone maintenance treatment. Drug Alcohol Depend. 2004; 73: 199-207.
Sigmon SC: Characterizing the emerging population of prescription opioid abusers. Am J Addict. 2006; 15: 208-212.
Passik SD, Hays L, Eisner N, et al.: Psychiatric and pain characteristics of prescription drug abusers entering drug rehabilitation. J Pain Palliat Care Pharmacother. 2006; 20: 5-13.
Simoni-Wastila L, Ritter G, Stricker G: Gender and other factors associated with the nonmedical use of abusable prescription drugs. Subst Use Misuse. 2004; 39: 1023.
Community Epidemiology Work Group: Epidemiologic Trends in Drug Abuse: Prescription Drug Abuse. NIH Publication No 04-5363A. Bethesda, MD: National Institute of Drug Abuse, National Institutes of Health, 2004.
US Department of Heath and Human Services, Substance Abuse and Mental Health Services Administration, Office of Applied Studies: Treatment Episode Data Set (1992, 1994, 1996, 1998, 2000, 2002, 2004). Prepared by Synectics for Management Decisions, Incorporated. ICPSRO4432-v2. Ann Arbor, MI: Interuniversity Consortium for Political and Social Research (producer and distributor), 19 December, 2006.
Salmi T, Maatta A, Antilla P, et al.: Detecting Trends of Annual Values of Atmospheric Pollutants by the Mann-Kendall Test and Sen’s Slope Estimates—The Excel Template Application MAKESENS. Publication on Air Quality 31. Helsinki: Finnish Meterological Institute, 2002: 35.
Gilbert RO: Statistical Methods in Environmental Pollution Monitoring. New York: Wiley, 1987.
Helsel DR, Hirsh RM: Statistical Methods in Water Resources. New York, NY: Elsevier, 1992.
Gibbons RD: Statistical Methods for Groundwater Monitoring. New York: Wiley, 1994.
Mann HB: Non parametric test against trend. Econometrica. 1945; 13: 245-259.
Isaacson HJ, Hopper JA, Alford DP, et al.: Prescription drug use and abuse. Postgrad Med. 2005; 118: 19-26.
Office of Applied Studies: Results from the 2005 National Survey on Drug Use and Health: National findings (DHHS Publication No. SMA 06-4194, NSDUH Series H-30). Rockville, MD: Substance Abuse and Mental Health Services Administration, 2006.
Mattick RP, Kimber J, Breen C, et al.: Buprenorphine maintenance vs placebo or methadone maintenance vs placebo for opioid dependence. Cochrane Database of Systematic Reviews. 2003; 2: CD0002209. Available at www.cochrane.org.
Rawson RA, Shoptaw SJ, Obert JL, et al.: An intensive out-patient approach for cocaine abuse treatment: The Matrix model. J Subst Abuse Treat. 1995; 12: 117-127.
Shoptaw S., Rawson RA, McCann MJ, et al.: The Matrix model of out-patient stimulant abuse treatment: Evidence of efficacy. J Add Dis. 1994; 13: 129-141.
Published
How to Cite
Issue
Section
License
Copyright 2005-2024, Weston Medical Publishing, LLC
All Rights Reserved