Table 2.

Gender and sources of prescription medications for misuse

	Males		Females		Statistics
Source	n	%	n	%
Opioids
Physician	229	22.7%	212	17.6%	χ2(1) = 10.7, p = .001
Theft/Fake Rx	93	9.2%	145	12.7%	χ2(1) = 6.87, p = .009
Friend/Relative	449	44.3%	561	49.3%	χ2(1) = 5.23, p = .022
Purchased	154	15.2%	129	11.3%	χ2(1) = 7.06, p = .008
Other	61	6.0%	83	7.3%	χ2(1) =1.38, p = .24
Tranquilizers
Physician	24	9.6%	22	6.4%	χ2(1) = 2.15, p = .14
Theft/Fake Rx	20	8.0%	46	13.3%	χ2(1) = 4.07, p = .04
Friend/Relative	113	45.4%	167	48.8%	χ2(1) = 0.42, p = .52
Purchased	83	33.3%	93	27.0%	χ2(1) = 2.82, p = .09
Other	9	3.6%	17	4.9%	χ2(1) = 0.60, p = .44
Stimulants
Physician	29	15.0%	34	10.7%	χ2(1) = 2.05, p = .15
Theft/Fake Rx	22	11.4%	40	12.6%	χ2(1) = 0.17, p = .68
Friend/Relative	95	49.2%	159	50.0%	χ2(1) = 0.04, p = .84
Purchased	33	17.1%	72	22.6%	χ2(1) = 2.31, p = .13
Other	14	7.3%	13	4.1%	χ2(1) = 2.38, p = .12