Understanding Patterns in Medical Marijuana Laws

A Latent Class and Transition Analysis

by Priscillia Hunt, Jeremy N. V. Miles, Anne E. Boustead

Download Free Electronic Document

FormatFile SizeNotes
PDF file 0.4 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.

This paper provides quantitative evidence on the underlying views of voters and state lawmakers about the legitimacy of medical marijuana based on voter- and legislature-adopted statutes between 1990 and 2012. Using latent class analysis and transition analysis, it determines whether state laws reveal underlying beliefs about the legitimacy of medical marijuana and the likelihoods of changing classes. Five distinct classes were identified: (1) Unacceptable; (2) Research Purposes; (3) Pharmaceutical Framework; (4) Home Remedy; and (5) Mixed Supply. Jurisdictions have a statistically greater likelihood of transitioning to a more varied supply framework if they have already passed a ballot initiative with home cultivation supply only and patient-recommended registration. A coordinated and flexible public health and public safety approach is needed to address the relevant legal frameworks adopted over time.

Table of Contents

  • Chapter One

    Introduction

  • Chapter Two

    Method

  • Chapter Three

    Results

  • Chapter Four

    Discussion and Conclusions

  • Chapter Five

    References

  • Appendix A

    Descriptions of Legal Variables

  • Appendix B

    Robustness Check Results

The research described in this report was prepared for the National Institute on Drug Abuse was conducted by RAND Health and RAND Justice, Infrastructure, and Environment (JIE).

This report is part of the RAND Corporation Working paper series. RAND working papers are intended to share researchers' latest findings and to solicit informal peer review. They have been approved for circulation by RAND but may not have been formally edited or peer reviewed.

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.

The RAND Corporation 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.