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[Preprint]. 2024 Aug 28:2024.08.27.24312661. [Version 1] doi: 10.1101/2024.08.27.24312661

Table 2.

Results from mediation analyses modeling naloxone administration as a mediator of the relationship between (A) cocaine or (B) methamphetamine co-involvement and overdose survival, for ODIN-recorded opioid overdoses from 63 Pennsylvania counties, 2018–2024.

(A) Cocaine (n= 24,992) (B) Methamphetamine (n=24,992)

Logit Coefficient [95% CI] Logit Coefficient [95% CI]

Total effect −0.161*** [−0.185, −0.136] −0.166*** [−0.192, −0.139]
Average direct effect −0.099*** [−0.118, −0.079] −0.101*** [−0.124, −0.078]
Average indirect effect −0.062*** [−0.077, −0.048] −0.065*** [−0.080, −0.050]

Proportion [95% CI] Proportion [95% CI]

Proportion mediated via naloxone administration 0.387*** [0.313, 0.460] 0.392*** [0.313, 0.471]

Note. Proportion mediated denotes the indirect effect as a percentage of the total effect. Outcome equation includes exposure-mediator interaction. Covariates in outcome and mediator equations: year, incident county, age, gender, race, and drugs co-involved (fentanyl, carfentanil, other synthetic opioids/fentanyl analogs, alcohol, benzodiazepines, heroin, and methamphetamine [in cocaine model]/cocaine[in methamphetamine model]). For convention, the term “effect” is used; nevertheless, results are not causal in nature.

***

p<0.001; p values based on robust standard errors. Data do not include Cameron, Forest, Philadelphia, and Sullivan counties.