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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.