What does mathematical modeling tell us about harm reduction?

Jonathan P. Caulkins

ResearchPublished 1997

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.

Order a Print Copy

Format
Paperback
Page count
5 pages
List Price
Free
Buy link
Add to Cart

Topics

Document Details

  • Availability: Available
  • Year: 1997
  • Print Format: Paperback
  • Paperback Pages: 5
  • List Price: Free
  • Document Number: RP-609

Originally published in: Drug and Alcohol Review, v. 15, 1996, pp. 231-235.

This publication is part of the RAND reprint series. The reprint series, a product of RAND from 1992 to 2011, included previously published journal articles, book chapters, and reports that were reproduced by RAND with the permission of the publisher. RAND reprints were formally reviewed in accordance with the publisher's editorial policy and compliant with RAND's rigorous quality assurance standards for quality and objectivity. For select current RAND journal articles, see external publications.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.