NCJ Number
185544
Date Published
January 2000
Length
59 pages
Annotation
This chapter is a progress report on the state of the
still-developing art of quantitative analysis of the
effectiveness of drug-control interventions.
Abstract
Some limitations of existing data are first identified and
discussed. They include reliance on self-reports; the indirect
relationship between available indicators and the underlying
quantities of greatest interest; and an overemphasis on measures
of drug use at the expense of other factors, such as
externalities associated with drug-control efforts. Four
encouraging trends are the ongoing expansion of traditional data
systems, improving information about drug markets, greater
integration across data sources, and better data from other
countries. Although the relevant data are imperfect, they have
been adequate to support initial efforts to quantify the
effectiveness of a range of drug-control interventions. Which
interventions are most effective depends on what one defines as
the objective of drug control. Available evidence concerning one
objective, i.e., reducing the quantity of drugs consumed, is
reviewed and found to contain key insights but also to be lacking
in important respects. There is a need for better information
concerning interactions between various drugs and drug markets,
interactions with other domains of social policy, how
interventions' effectiveness varies over the course of a drug
epidemic, and how epidemics emerge and how they can be controlled
in their early stages. These limitations are best viewed as a
challenge, not as an excuse for basing policy on less formal or
ad hoc syntheses of the literature. Drug policy is not alone in
demanding creativity in the adaptation and application of
quantitative analysis to evaluate effectiveness. Other policy
domains in which benefit-cost or cost-effectiveness analysis is
now accepted went through a similar formative stage. 3 exhibits,
19 notes, and 163 references
Date Published: January 1, 2000
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