Abstract
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 state-authorized United States' Medical Cannabis Program (MCP) on scheduled II–V
drug prescription patterns.
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 4 measures (decreases
in counts of −0.02 to −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.
Keywords
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Article info
Publication history
Published online: September 09, 2017
Footnotes
This work was partially funded by the Medical Cannabis Research fund (http://mcrf.unm.edu/).
The authors declare no conflicts of interest.
Identification
Copyright
© 2017 AMDA - The Society for Post-Acute and Long-Term Care Medicine.