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Table 2 Mono- vs. Polydrug Abuse Reported (N = 69,891)

From: Mono- versus polydrug abuse patterns among publicly funded clients

  Total Usersa Monodrug Users Polydrug Users   
  N = 69,891 35,875 51.3% 34,016 48.7% Odds Ratio
Substance n % n % n % ORb 95% CI
Alcohol 45,318 64.8 18,078 39.9 27,240 60.1 0.664 0.651–0.670
Cocaine 28,230 40.4 6,260 22.2 21,970 77.8 0.285 0.277–0.289
Marijuana 24,671 35.3 4,961 20.1 19,710 79.9 0.252 0.244–0.256
Opiates 8,652 12.4 2,492 28.8 6,160 71.2 0.405 0.386–0.415
Sedatives 4,690 6.7 363 7.7 4,327 92.3 0.084 0.075–0.089
Amphetamines 3,711 5.3 752 20.3 2,959 79.7 0.254 0.235–0.265
Hallucinogens 711 1.0 42 5.9 669 94.1 0.063 0.046–0.074
Inhalants 467 0.7 91 19.5 376 80.5 0.242 0.192–0.273
Other drugsc 4,172 6.0 2,836 68.0 1,336 32.0 2.122 1.989–2.199
  1. Note: Percentages for mono and polydrug abuse are calculated from Total Users of each substance across rows and not down columns; n values are actual number of users.
  2. aThis column reflects mono- and polydrug use for each particular substance category. Frequencies (N, %) do not add up to total users or 100% because of multiple responses among categories.
  3. bFor each drug, odds ratio indicates the likelihood of the client's being a mono- or polydrug user when reporting that substance as the one requiring treatment. Odds ratios were estimated from bivariate logistic regression analysis; all were significant at p < 0.0001.
  4. cOther drugs refers mostly to club drugs, such as ecstasy, GHB, Ketamine, and Rohypnol.