Skip to main content
. Author manuscript; available in PMC: 2019 Feb 1.
Published in final edited form as: Drug Alcohol Depend. 2017 Dec 6;183:1–6. doi: 10.1016/j.drugalcdep.2017.10.020

Table 3. Multivariable logistic regression analyses of factors associated with recent exposure to fentanyl among people who inject drugs in Vancouver, Canada, June – October 2016 (n = 452).

Variable Adjusted Odds Ratio 95% Confidence Interval p-value
Model 1 (UDS results)
Age
 (per year older) 0.96 (0.94 – 0.99) 0.006
UDS positive for:
Morphine/heroin
 (yes vs. no) 6.73 (3.64 – 13.53) <0.001
Buprenorphine
 (yes vs. no) 4.25 (1.77 – 10.13) 0.006
Cocaine
 (yes vs. no) 2.92 (1.81 – 4.83) <0.001
Amphetamine/methamphetamine
 (yes vs. no) 3.26 (2.01 – 5.42) <0.001
Cannabis
 (yes vs. no) 0.52 (0.31 – 0.83) 0.026

Model 2 (self-reported drug use in the past 6 months)
Age
 (per year older) 0.97 (0.95 – 0.98) 0.002
Heroin use*
 (yes vs. no) 9.19 (4.19 – 24.71) <0.001
Fentanyl pills or patches use*
 (yes vs. no) 1.83 (0.94 – 3.49) 0.126
Cannabis use*
 (yes vs. no) 0.46 (0.30 – 0.70) 0.002

UDS: urine drug screen.

*

Denotes behaviours and events in the previous six months.

Non-medical use.