Table 2.
Sources of Prescription Opioids among Past Year Non-Medical Users (n = 4,281)
| Source | % Yes (n) | p-value |
|---|---|---|
|
| ||
| Got it from a friend or relative for free | 0.05 | |
| Men | 20.45 (780) | |
| Women | 17.75 (816) | |
| Total | 38.20 (1596) | |
|
| ||
| Got a prescription from just one doctor | NS | |
| Men | 6.75 (218) | |
| Women | 4.10 (203) | |
| Total | 10.85 (421) | |
|
| ||
| Bought it from a friend or relative | NS | |
| Men | 2.98 (174) | |
| Women | 2.11 (105) | |
| Total | 5.10 (279) | |
|
| ||
| Took it from a friend or relative without asking | 0.07 | |
| Men | 1.75 (76) | |
| Women | 2.04 (119) | |
| Total | 3.80 (195) | |
|
| ||
| Bought it from a drug dealer or other stranger | 0.001 | |
| Men | 1.77 (85) | |
| Women | 0.58 (39) | |
| Total | 2.34 (124) | |
|
| ||
| Got a prescription from more than one doctor | NS | |
| Men | 0.45 (23) | |
| Women | 0.29 (15) | |
| Total | 0.74 (38) | |
|
| ||
| Stole it from doctor’s office/clinic/hospital/pharmacy | NS | |
| Men | 0.06 (4) | |
| Women | 0.07 (3) | |
| Total | 0.13 (7) | |
|
| ||
| Wrote a fake prescription | NS | |
| Men | 0.07 (3) | |
| Women | 0.01 (1) | |
| Total | 0.08 (4) | |
|
| ||
| Bought it on the internet | NS | |
| Men | 0.05 (7) | |
| Women | 0.01 (1) | |
| Total | 0.05 (8) | |
Note. Results are reported as unweighted n and weighted percentages using SAS survey procedures. Totals do not add up to 100% due to unanswered questions, i.e. missing data, and to weighting.
NS: p>.05.