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. Author manuscript; available in PMC: 2024 Jan 1.
Published in final edited form as: Psychiatr Serv. 2022 Jun 30;74(1):24–30. doi: 10.1176/appi.ps.20220070

TABLE 2.

Risk for adverse events among adults after the start of an opioid analgesic episode, by antidepressant receipt and controlling for patient characteristicsa

All overdose and
self-harm events
(N=836,091)
Opioid overdose
(N=836,067)
Nonopioid controlled
substances overdose
(N=836,055)
Other overdose
(N=836,060)
Self-harm
(N=836,068)
Characteristic AOR 95% CI AOR 95% CI AOR 95% CI AOR 95% CI AOR 95% CI
Antidepressant effect 1.19* 1.03–1.37 1.18* 1.02–1.37 1.18* 1.02–1.37 1.18* 1.02–1.36 1.16 1.00–1.34
Antidepressant effect after 6 weeks .79* .65–.97 .78* .64–.96 .76* .62–.94 .79* .65–.97 .82* .67–1.00
a

The data came from the deidentified Optum Clinformatics Data Mart database, 2007–2017. Adjusted odds ratios (AORs) were estimated with separate multivariable logistic models. We controlled for year fixed effects (calendar year of episodes), a set of indicators for the number of weeks since the opioid treatment episode began, sex, age, and length of continuous insurance enrollment as of the beginning of the opioid episode. Standard errors were corrected and clustered on patient groups. The number of observations in the competing risk models varied slightly by the type of adverse event of interest because we censored all the observations during and after the week of an event that was not the event of interest.

*

p<0.05.