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. Author manuscript; available in PMC: 2023 Apr 9.
Published in final edited form as: J Psychoactive Drugs. 2019 Apr 8;51(4):311–322. doi: 10.1080/02791072.2019.1597224

Table 3.

Logistic regression examining correlates of past-year kratom use (N = 478).

Model 1* Model 2*
Std. Coef AOR (95% CI) p-value Std. Coef. AOR (95% CI) p-value
Age −0.04 0.96 (0.92–1.00) 0.08 −0.03 0.97 (0.93–1.01) 0.12
Heroin use 0.92 2.51 (1.12–5.65) 0.03 0.69 2.00 (0.86–4.63) 0.10
Prescription opioid use −0.23 0.80 (0.36–1.78) 0.58 −0.51 0.60 (0.26–1.39) 0.23
Marijuana use 0.47 1.60 (0.72–3.57) 0.24 0.42 1.52 (0.68–3.42) 0.31
Cocaine use 0.20 1.23 (0.65–2.31) 0.53 0.20 1.22 (0.64–2.30) 0.55
Amphetamines use 1.04 2.82 (1.00–7.97) 0.05 0.75 2.11 (0.72–6.21) 0.17
Non-prescribed buprenorphine use - - - 1.16 3.20 (1.32–7.77) 0.01

Notes: AOR = Adjusted Odds Ratio

*

Model 1 examined demographic and polydrug-use correlates of past-year kratom use. Model 2 added past-year non-prescribed buprenorphine as a mediator.