Table 1 Characteristics of younger participants stratified by engaging in nonmedical prescription opioid use over the study period, 2013–2015 (n = 405)
Characteristica | Total (%) (n = 405) | Nonmedical Prescription Opioid Use | p - value | |
|---|---|---|---|---|
Yes (%) (n = 160) | No (%) (n = 245) | |||
Age (M [IQR]) | 25 (22–28) | 23 (21–26) | 26 (23–28) | < 0.001 |
Any cocaine useb, c | 123 (30.4) | 60 (37.5) | 63 (25.7) | 0.012 |
Any crack cocaine useb, c | 138 (34.1) | 70 (43.8) | 68 (27.8) | < 0.001 |
Any crystal meth useb, c | 268 (66.2) | 121 (75.6) | 147 (60.0) | 0.001 |
Any heroin useb, c | 193 (47.7) | 114 (71.3) | 79 (32.2) | < 0.001 |
Any non-fatal overdoseb, c | 93 (23.0) | 54 (33.8) | 39 (15.9) | < 0.001 |
Binge drug useb, c | 208 (51.4) | 108 (67.5) | 100 (40.8) | < 0.001 |
Caucasian ancestry | 250 (61.7) | 100 (62.5) | 150 (61.2) | 0.796 |
Difficulty accessing servicesb, d | 151 (37.3) | 73 (45.6) | 78 (31.8) | 0.005 |
Drug dealingb | 131 (32.3) | 78 (48.8) | 53 (21.6) | < 0.001 |
Female | 135 (33.3) | 49 (30.6) | 86 (35.1) | 0.350 |
Homelessb | 202 (49.9) | 95 (59.4) | 107 (43.7) | 0.002 |
Incarcerationb | 57 (14.1) | 26 (16.3) | 31 (12.7) | 0.297 |
Regular employmentb | 191 (47.2) | 81 (50.6) | 110 (44.9) | 0.259 |
Sex workb | 48 (11.9) | 26 (16.3) | 22 (9.0) | 0.027 |