Drug treatment careers: A conceptual framework and existing research findings
Abstract
While outcomes for any single intervention are important to determine, the long term evaluation of multiple, sequential interventions is at least equally important. One strategy for examining this process is that of the treatment career. A treatment careers perspective applies a longitudinal dynamic approach to identify and understand key factors influencing the development of, and transitions in the course of, drug dependence and its treatment. After presenting an overview of the treatment careers perspective, this paper reviews and discusses relevant research issues and findings on treatment seeking, utilization and resistance, entry and reentry, engagement and retention, client treatment matching, and outcomes. Key findings include high resistance to entering treatment by many drug users, late development of treatment careers relative to addiction and criminal careers, short durations of most treatment episodes, cumulative and facilitative effects of treatment experiences, and beneficial effects of matching clients to treatment. The treatment careers perspective provides a useful framework within which findings on drug treatment can be better integrated and critical issues can be identified for further research, leading to a better understanding of drug dependence and its treatment.
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There is no consensus in the clinical literature on the appropriate length of treatment episodes for all types of clients; episode length is highly variable based on individual client needs and program characteristics.
“In addition, there is no consensus in the clinical literature on the appropriate length of treatment episodes for all types of clients; episode length is highly variable based on individual client needs and program characteristics (Hser et al., 1997).”
From The economic costs of substance abuse treatment: Updated estimates and cost bands for program assessment and reimbursement (2008) · cites this paper as Hser et al., 1997
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- Authors
- Hser, Y.-I., Anglin, M. D., Grella, C., Longshore, D., & Prendergast, M. L.
- Affiliations
- University of California, Los Angeles (US)
- Corresponding author
- Hser, Yih-Ing
- Venue
- Journal of Substance Abuse Treatment
- Publisher
- Elsevier BV
- Published
- 1997-11
- Volume
- 14
- Issue
- 6
- Pages
- 543-558
- ISSN
- 0740-5472 (ISSN-L)
- OpenAlex
- W2144922566
- Cited by
- 292
- References
- 134
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 4 · 2023: 6 · 2022: 3 · 2021: 4 · 2020: 7 · 2019: 6 · 2018: 7 · 2017: 10 · 2016: 7 · 2015: 11 · 2014: 12 · 2013: 11 · 2012: 11
- FWCI
- 1.55
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Substance Abuse Treatment (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5k02da000146-10, 5p50da007699-05)
- National Institute on Drug Abuse (K02-DA00139, P50DA07699, K02-DA00146, K02DA000139)
- 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 › Clinical Psychology › Psychotherapy Techniques and Applications
- Keywords
- drug addiction, addiction treatment, treatment seeking, treatment resistance, treatment engagement and retention, treatment outcomes, cumulative treatment effect
- MeSH terms
- Chronic Disease, Crime, Delivery of Health Care, Health Services Research, Humans, Terminology as Topic, Patient Acceptance of Health Care, Prognosis, Research Design, Treatment Outcome, Disease Progression, Substance-Related Disorders
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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