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Substance abuse treatment, what do we know?

An economist’s perspective

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Abstract

The literature on treating substance abuse has dealt basically with four important questions: (a) Is treatment effective? (b) Are all programs equally effective? (c) Why do programs differ in their effectiveness? (d) Which treatments are more cost-effective? This paper reviews the substance abuse treatment literature around these four questions and discusses methodological issues that hinder the interpretation and generalization of results to date. The answer to the first question is a sounding “yes,” treatment is effective but not all programs are equally effective. Researchers have moved beyond the “black box” literature that concentrated on patient and program characteristics as explanations for differences in effectiveness and search for the “active” ingredients of treatment. These include, for example, the treatment philosophy of the program’s director and staff attitudes towards patients. Cost-effectiveness studies are less common, and their conclusions are mixed. In general, it is probably safe to say that for the majority of patients, outpatient or shorter programs are more cost-effective.

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Notes

  1. References were selected from Medline, ABI-INFORM, ECONLIT and survey papers were also used as a source. Articles were also selected from the table of contents of volumens of Addiction and Journal of Studies on Alcohol. Some of the keywords used in the search were: substance abuse; drug abuse; alcohol abuse; effectiveness; cost-effectiveness; acamprosate; MATCH; self-report, economic evaluation, treatment programs.

  2. For the interested reader, there is an important economic literature on the theories of addiction. This paper deals with the treatment of substance abuse and although different theories may lead to different treatment approaches and philosophies, in this paper I only compare autcomes and do not discuss the theories that may support them.

  3. There is a new trend analyzing the effects of “brief interventions” (BI) for alcoholics, and a number of studies claim its effectiveness relative to longer treatment periods. Drummond [13], however, refutes this new literature mainly on the basis of sample selection. Trent [59] reported shorter programs to be more effective than longer ones, but this study did not randomize patients into treatment alternatives and the sample was composed of rather stable individuals.

  4. Adhering to the “black-box” type of evaluation may be not only convenient but sufficient. The latter authors analyze the problem of allocating a fixed budget among a set of programs believed to follow roughly the same treatment philosophies and goals over time and patients. Their dynamic structural model of the treatment process can detect wide differences between programs regarding observable and unobservable characteristics of patients at admission, patients’ progress through treatment, patients’ completion criteria, and programs’ capacity to hold patients until treatment completion. Joe et al. [29] also model treatment in a dynamic framework, but for their particular approach they need a truncated sample of patients in treatment for at least 3 months.

  5. Papers where treatment services such as participation in therapy sessions, Alcoholic Anonymous meetings, films, attendance to church, etc. and outcomes are associated but where no causation can be established include: Moos, Finney and Cronkite (1990) and Ball and Ross (1991).

  6. The authors acknowledge that patients were not randomized; furthermore, they note the possible unintended effects that the change in program within the same facility may have had, for instance, on staff and/or patient mood.

  7. The superior results of motivational enhancement therapy do not hold for the severely ill psychiatric patients or for patients with highly supportive network of drinking, where cognitive behavior therapy was the most cost-effective [26]. Critics of the MATCH project would probably argue that the differences in total medical costs are not really differences in cost-effectiveness but represent either differences in alternative outcome measures that the MATCH team did not care to record or is a result of patient selection in the study. For a review of some criticisms directed at the project MATCH design and methodology see [9].

  8. Although inpatient treatment programs are less common, they still account for half the funds spent in substance abuse treatment in the United States [8].

  9. Unlike other studies on the effectiveness of BI, the WHO study is probably free of sample selection because (a) it compared types of BI only with “doing nothing” and not with other programs, and (b) patients were classified according to their drinking abuse severity, and results were obtained for “hazardous” and “harmful” drinking patients separately, where the “hazardous” and “harmful” classifications were obtained from a standardized screening test.

  10. The “harm-reduction” movement in some European countries is an exception to this belief, aimed mainly at decreasing the devastating consequences of substance abuse, see [40].

  11. Lu [35] reported evidence that after the introduction of performance-based contracting between the Maine OSA and the treatment agencies, agencies changed their reporting practices in order to affect their budgets.

  12. Yates [64] describes the basic cost categories to be collected for computing treatment costs. This manual, although very useful for orienting programs regarding how to record costs, restricts the cost-effectiveness analysis to simple methods that are not capable of measuring the impact of patient and program characteristics. In particular, these methods are not able to address the probability of patient selection in calculating their cost-effectiveness ratios.

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Acknowledgements

This research was carried out in part while I was at the IAE, Barcelona, as a Marie Curie postdoctoral fellow (European Community grant #ERBFMBICT972472). I also thank the research support from the Merck Foundation. Useful comments came from Daniel A. Ackerberg, Michael H. Riordan, and two anonymous referees. Mercedes Cabañas provided invaluable assistance as a documentalist. This article was supported by an unrestricted educational grant awarded jointly to the Universities Carlos III de Madrid and Pompeu Fabra de Barcelona by The Merk Foundation, the philanthropic arm of Merck Co. Inc., White House Station, New Jersey, USA. The responsibility for all errors and omissions is mine.

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Correspondence to Matilde P. Machado.

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Machado, M.P. Substance abuse treatment, what do we know?. Eur J Health Econ 6, 53–64 (2005). https://doi.org/10.1007/s10198-004-0253-2

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