Repeated measures latent class analysis identifies unique daily cocaine-use patterns and associated clinical characteristics: A timeline followback-based analytic approach

Alixandria T. Mascarin, William Burstein, Lana R. Grasser, Mark K. Greenwald · 2026

Read Repeated measures latent class analysis identifies unique daily cocaine-use patterns and associated clinical characteristics: A timeline followback-based analytic approach by Alixandria T. Mascarin, William Burstein, Lana R. Grasser, Mark K. Greenwald (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13563217.txt.

Description

Four researchers sort daily cocaine use into patterns in a 2026 paper. Cocaine brings health risks and hard treatment choices, and day by day habits vary a lot. The team used a recall method that walks people back through the past fifteen days of use.

The study held 109 people who use cocaine but were not in treatment, most of them men. Three patterns came out: use that swings a lot, rare use, and steady use on most days. The steady group used more per day and felt stronger craving. Income also split the groups, with steady users earning more than rare users on average.

Catalog record

CREATORAlixandria T. Mascarin, William Burstein, Lana R. Grasser, Mark K. Greenwald
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE36 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13563217

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