This paper argues, primarily by example, that mathematical modeling can contribute to harm-reduction-oriented drug policymaking in three ways: by contributing to quantitative evaluations of effectiveness, by improving data and understanding of the underlying drug-related phenomena, and by encouraging precise thinking about the goals and objectives of harm reduction.
Originally published in: Drug and Alcohol Review, v. 15, 1996, pp. 231-235.
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