Predictors of treatment receipt among adults with a drug use disorder
Abstract
This study used data from the 2000 and 2001 National Household Surveys on Drug Abuse to examine factors that contribute to the receipt of specialty substance abuse treatment, which is defined as treatment in rehabilitation facilities, hospitals, or mental health centers designed to help stop or reduce drug use. The population examined was a nationally representative sample of 3291 adults aged 18 or older with a drug use disorder in the past 12 months. Data were collected by computer-assisted interviews using a combination of computer-assisted personal interviews conducted by the interviewer and audio computer-assisted self-interviewing guided by the computer and respondent. Using descriptive analyses and multivariate logistic regression models, this study compared sociodemographic, substance abuse, and psychosocial characteristics of those receiving treatment with those not receiving treatment; it also examined the factors that influenced treatment receipt while controlling for potential confounders. Characteristics significantly contributing to treatment receipt among adults with a drug use disorder included the following: a woman without social support; a high school graduate with no college education; those receiving insurance through Medicaid or a state Children's Health Insurance Program; those on probation, parole, or supervised release in the past year; a daily smoker of cigarettes; those meeting at least three criteria for drug dependence; those having past year dependence on or abuse of alcohol; and those receiving any mental health treatment or counseling in the past year. Adults associated with the criminal justice system had a different pattern of treatment predictors from those who were not involved with the criminal justice system.
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Those involved with the criminal justice system (e.g., arrested or on probation, parole, or supervised release) had higher odds of receiving treatment.
“Other studies found that those who were involved with the criminal justice system (e.g., arrested or on probation, parole, or supervised release) had higher odds of receiving treatment [18,22,23].”
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HUMAN CAPITAL, MENTAL HEALTH, SUBSTANCE USE AND SOCIAL SUPPORT AMONG LOW-INCOME WOMEN
Leukefeld, S. (2012) · UKnowledge (University of Kentucky)
- Authors
- Epstein, J. F., Hourani, L. L., & Heller, D. C.
- Affiliations
- Substance Abuse and Mental Health Services Administration (US)
- RTI International (US)
- Venue
- The American Journal of Drug and Alcohol Abuse
- Publisher
- Informa UK Limited
- Published
- 2004-01-01
- Volume
- 30
- Issue
- 4
- Pages
- 841-869
- ISSN
- 0095-2990 (ISSN-L)
- 1097-9891
- OpenAlex
- W2029713450
- Cited by
- 18
- References
- 40
- Citations by year
- 2025: 1 · 2020: 1 · 2019: 2 · 2018: 1 · 2015: 2 · 2013: 2 · 2012: 2
- FWCI
- 0.72
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The American Journal of Drug and Alcohol Abuse (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Keywords
- treatment receipt, drug use disorders, addiction treatment, predictors of treatment, sociodemographic factors, social support, Medicaid, State Children's Health Insurance Program, community supervision, supervised release, cigarette smoking, drug addiction, alcoholism, psychotherapy, criminal justice involvement
- MeSH terms
- Adolescent, Adult, Alcoholism, Computers, Crime, Female, Health Services Accessibility, Health Surveys, Humans, Interview, Psychological, Male, Mathematical Computing, Probability, Referral and Consultation, Regression Analysis, Smoking, Socioeconomic Factors, Illicit Drugs, Multivariate Analysis, Logistic Models, Substance Abuse Treatment Centers, Smoking Cessation, Substance-Related Disorders, Resource Allocation
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