Objective

Coprescription of opioids and benzodiazepines (BDZ) is associated with adverse outcomes, including greater healthcare utilization and overdose risk. This study aims to examine opioid and BDZ coprescription, dosing, and mortality among patients with and without opioid use disorder (OUD) in a large healthcare system.

Methods

Using data from the California state Prescription Drug Monitoring Program during 2010 to 2014 linked with a large healthcare system electronic health record database and mortality records from the Centers for Disease Control National Death Index, this study examined 5202 patients (1978 with OUD, 3224 controls). Multiple logistic regression analyses were conducted to examine relationships between most recent BDZ and opioid prescription, and their interaction with respect to mortality.

Results

About 10.5% of the sample died on or before December 31, 2014. About 17.7% were prescribed BDZ during the final month of observation. Individuals with OUD were prescribed higher average BDZ and opioid doses than those without OUD. After adjusting for covariates, increased prescribed doses of BDZ (odds ratio [OR]=1.34, 95%CI: 1.15-1.55 per 10 mg/d increment) and opioids (OR = 1.04, 95%CI: 1.02-1.05 per 10 mg/d increment) were positively associated with mortality. Non-OUD patients who received both BDZ and opioid prescriptions had a higher mortality than those who received only BDZ or opioids (The ratio of odds ratio (ROR) = 3.83, 95%CI: 1.78-8.21).

Conclusions

Study findings highlight significant mortality associated with the coprescription of opioids and BDZ in a general healthcare setting. Further research is needed to elucidate factors associated with mortality among non-OUD patients who are co-prescribed opioids and BDZ.

Objective

Prescription Drug Monitoring Programs (PDMPs) are intended to help reduce prescription drug misuse and opioid overdose, yet little is known about the longitudinal patterns of opioid prescribing that may be associated with mortality. This study investigated longitudinal opioid prescribing patterns among patients with opioid use disorder (OUD) and without OUD in relation to mortality using PDMP data.

Methods

Growth modeling was used to examine opioid prescription data from the California PDMP for a 4-year period before death or a comparable period ending in 2014 for those remaining from a sample of 7728 patients (2576 with OUD, and 5152 matched non-OUD controls) treated in a large healthcare system.

Results

Compared to controls, individuals with OUD (alive and deceased) had received significantly more opioid prescriptions, greater number of days' supply, and steeper increases of opioid dosages over time. For morphine equivalents (ME, in grams), the interaction of OUD and mortality was significant at both intercept (β = 10.4, SE = 4.4, P < 0.05) and slope (β = 6.0, SE = 1.1, P < 0.001); deceased OUD patients demonstrated the sharpest increase (ie, an average yearly increment of 7.84 grams over alive patients without OUD) and ended with the highest level of opioids prescribed before they died (ie, 20.2 grams higher). Older age, public health insurance, cancer, and chronic pain were associated with higher number and dose of opioid prescriptions.

Conclusions

Besides the amount of prescriptions, clinicians must be alert to patterns of opioid prescription such as escalating dosage as critical warning signals for heightened mortality risks, particularly among patients with OUD.