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Latent class analysis (LCA) and multinomial logistic regression procedures were used to identify subtypes of ecstasy users. Approximately 1.6% (n = 562) of adult participants (N = 43,093) reported lifetime ecstasy use. LCA identified three subtypes of ecstasy users. Class 1 exhibited pervasive use ofmost drug classes (ecstasy\u2010polydrug users, 37%). Class 2 reported a high rate of use of marijuana and cocaine and a moderate use of amphetamines (ecstasy\u2010marijuana\u2010stimulant users, 29%). Class 3 was characterized by a high rate of use of marijuana and a low use ofprimarily prescription\u2010type drugs (ecstasy\u2010marijuana users, 34%). Subtypes were distinguished by family income, history ofsubstance abuse treatment, and familial substance abuse. Class 1 exhibited the highest prevalence of disorders related to the use of marijuana (77%), tobacco (66%), amphetamines (36%), opioids (35%), sedatives (31%), and tranquilizers (30%). The recent resurgence in ecstasy use among adults underscores the need to monitor trends in its use.<\/jats:p>","DOI":"10.3109\/10550490903206049","type":"journal-article","created":{"date-parts":[[2009,10,31]],"date-time":"2009-10-31T03:06:56Z","timestamp":1256958416000},"page":"452-461","source":"Crossref","is-referenced-by-count":32,"title":["The Variety of Ecstasy\/MDMA Users: Results from the National Epidemiologic Survey on Alcohol and Related Conditions"],"prefix":"10.1111","volume":"18","author":[{"given":"Li\u2010Tzy","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andy C.","family":"Parrott","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher 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