4.7 Article

Effects of Legal Access to Cannabis on Scheduled II-V Drug Prescriptions

Journal

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jamda.2017.07.017

Keywords

Marijuana; cannabis; opioids; Prescription Monitoring Program; scheduled medications; substitution

Funding

  1. Medical Cannabis Research fund

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Background: Co-prescribing of scheduled drugs is endemic in the United Sates, increasing health risks to patients and the burden on healthcare systems. Purpose: We conducted a pragmatic historical cohort study to measure the effect of enrollment in a stateauthorized United States' Medical Cannabis Program (MCP) on scheduled IIeV drug prescriptionpatterns. Procedures: Eighty-three chronic pain patients, who enrolled in the New Mexico MCP between April 1, 2010 and October 3, 2015, were compared with 42 nonenrolled patients over a 24-month period (starting 6 months before enrollment for the MCP patients) using the Prescription Monitoring Program. The outcome variables include baseline levels and pre-and postenrollment monthly trends in the number of drug prescriptions, distinct drug classes, dates prescription drugs were filled, and prescribing providers. Findings: Twenty-eight MCP patients (34%) and 1 comparison group patient (2%) ceased the use of all scheduled prescription medications by the last 6 months of the observation period. Age-and sex-adjusted regressions show that, although no statistically significant differences existed in pre-enrollment levels and trends, the postenrollment trend among MCP patients is statistically significantly negative for all 4measures (decreases in counts of -0.02to -0.04, P values between <. 001 and.017), whereas the postenrollment trend is 0 among the comparison group. Controlling for time-invariant patient characteristics suggested that MCP patients showed statistically significantly lower levels across all 4 measures by 10 months postenrollment. Conclusions: Legal access to cannabis may reduce the use of multiple classes of dangerous prescription medications in certain patient populations. (C) 2017 AMDA - The Society for Post-Acute and Long-Term Care Medicine.

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