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. Author manuscript; available in PMC: 2016 Nov 1.
Published in final edited form as: Addict Behav. 2015 Jun 25;50:192–198. doi: 10.1016/j.addbeh.2015.06.041

Table 1.

Patterns of polysubstance use characterized by past-year use of tobacco, cannabis, cocaine, or other illicit drugs among NESARC respondents with alcohol dependence at Wave 1 (n = 1,172)

Past-year use (Wave 1) Alcohol Use Only



(n= 351)
Alcohol and
Tobacco Use


(n= 402)
Alcohol, Tobacco
and Cannabis Use


(n= 171)
Alcohol, Tobacco
Cannabis, Cocaine
and other Illicit
Drug Use illicit
drug(s)
(n= 248)

% 95% CI % 95% CI % 95% CI % 95% CI

Weighted Percentages 27.5 [24.2, 31.1] 32.4 [28.8, 36.2] 14.8 [12.6, 17.4] 25.3 [21.7, 29.2]
Tobacco use 0 [0, 0] 100 [100.0, 100.0] 76.8 [68.8, 83.3] 76.8 [69.1, 83.0]
Cannabis use 0 [0, 0] 0 [0, 0] 100 [100, 100] 73.6 [66.9, 79.4]
Cocaine use 0 [0, 0] 1.8 [0.8, 4.3] 8.3 [4.5, 14.9] 26.9 [20.4, 34.5]
Other illicit drug use 0 [0, 0] 0 [0, 0] 0 [0] 100 [100, 100]

Note: The four patterns of polysubstance use are identified by latent class analysis of four binary indicators for the past-year use of tobacco, cannabis, cocaine, and other illicit drugs, by allocating persons to their modal class (i.e., the class in which a person has the highest posterior probability), where pattern 1 is a known class (i.e., class membership is assumed, a priori, for persons who had no use of substances other than alcohol).