Table 4.

Logistic regression odds ratios for retention in buprenorphine treatment at 12 months (N = 294).

Predictor	Model 0		Model 1		Model 2		Model 3		Model 4
	OR	95% CI	OR	95% CI	OR	95% CI	OR	95% CI	OR	95% CI
Emerging adult (compared 10 older adult)	0.25	[0.13–0.50]*	0.27	[0.14–0.55]*	0.30	[0.15–0.61]*	0.32	[0.16–0.66]*	0.43	[0.19–0.98]*
Demographics
Caucasian			0.52	[0.22–1.26]	0.49	[0.19–1.22]	0.46	[0.18–1.19]	0.47	[0.18–1.19]
Currently receiving disability income			1.29	[0.73–2.30]	1.09	[0.60–2.00]	1.16	[0.62–2.14]	1.06	[0.57–2.00]
Recent substance use patterns
Self-reported use in past 30 days
Cannabis					0.88	[0.35–2.24]	0.74	[0.29–1.93]	0.77	[0.30–2.00]
No other substance use					1.91	[1.12–3.26]*	1.63	[0.90–2.93]	1.63	[0.90–2.96]
Urine toxicology screening at intake
Cannabis					0.53	[0.28–0.99]*	0.53	[0.28–1.01]†	0.56	[0.29–1.07]†
Cocaine					0.58	[0.28–1.19]	0.65	[0.31–1.34]	0.65	[0.32–1.36]
Opioid dependence severity
Lifetime heroin use							0.59	[0.28–1.26]	0.54	[0.25–1.15]
Heroin use in the past 30 days							0.65	[0.29–1.47]	0.63	[0.28–1.44]
History of injection drug use							0.71	[0.38–1.33]	0.75	[0.40–1.40]
Opioid dependence experience
Started during adolescence (< 18 years)									0.78	[0.40–1.52]
Total years of opioid use									0.98	[0.94–1.01]

^*p < 0.05.

^†p < 0.10.