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. Author manuscript; available in PMC: 2021 Jul 1.
Published in final edited form as: Drug Alcohol Depend. 2020 Apr 25;212:108005. doi: 10.1016/j.drugalcdep.2020.108005

Table 3.

Segmented regression analysis of the impact of opioid agonist therapy on different types of substance use among 1107 people who use illicit drugs in Vancouver, British Columbia, Canada.

Estimated prevalence, % (95% confidence interval)

Substance type Baseline a Before OAT initiation After OAT initiation End of study b
Heroin 64.8 (61.3, 68.1) 84.2 (82.5, 85.8) 70.6 (68.9, 72.3) 43.4 (41.2, 45.6)
Illicit prescription opioid 29.6 (26.7, 32.8) 39.7 (37.3, 42.1) 28.7 (26.9, 30.5) 18.9 (17.3, 20.6)
Cocaine 61.2 (57.8, 64.4) 55.3 (52.8, 57.7) 49.4 (47.4, 51.3) 30.1 (28.2, 32.1)
Crack cocaine 51.9 (48.5, 55.2) 47.4 (45.0, 49.9) 48.9 (46.9, 50.8) 54.8 (52.6, 56.9)
Crystal methamphetamine 13.6 (11.5, 16.0) 20.0 (18.1, 22.1) 19.0 (17.5, 20.6) 14.8 (13.4, 16.4)
Cannabis 57.0 (53.6, 60.3) 52.1 (49.7, 54.6) 51.3 (49.4, 53.2) 45.7 (43.5, 47.9)
Daily alcohol 15.1 (12.7, 17.8) 9.6 (8.3, 11.1) 8.1 (7.2, 9.3) 9.3 (8.1, 10.7)
Benzodiazepines 15.8 (13.4, 18.5) 13.2 (11.7, 14.9) 8.4 (7.3, 9.6) 2.4 (1.9, 3.0)

OAT opioid agonist therapy.

a

The first observation upon joining cohort.

b

At five years post opioid agonist therapy enrolment.