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.