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. 2016 Oct;27(7):579-84.
doi: 10.1097/FBP.0000000000000250.

Real-time assessment of alcohol drinking and drug use in opioid-dependent polydrug users

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Real-time assessment of alcohol drinking and drug use in opioid-dependent polydrug users

Kenzie L Preston et al. Behav Pharmacol. 2016 Oct.

Abstract

We investigated relationships between drinking, other drug use, and drug craving, using ecological momentary assessment (EMA), in a sample of polydrug users who were not heavy drinkers. In a prospective longitudinal cohort study, 114 heroin and cocaine users on methadone-maintenance treatment carried handheld electronic diaries during waking hours and were screened for drug and alcohol use for up to 25 weeks. Individuals who fulfilled the Diagnostic and Statistical Manual of Mental Disorders criteria for alcohol abuse or dependence were excluded. Participants responded to 2-5 random prompts per day to report on their moods, cravings, and activities and initiated entries when they used or acutely craved heroin or cocaine. Drinking alcohol was assessed in both types of entries. Breath alcohol was measured three times weekly. Participants reported drinking alcohol in 1.6% of random-prompt entries, 3.7% of event-contingent entries when craving cocaine and/or heroin, and 11.6% of event-contingent entries when using cocaine and/or heroin. Alcohol drinking was also associated with higher craving ratings and prestudy alcohol use. More drinking was detected by ambulatory self-report than by in-clinic breath testing. Even though we had screened out heavy drinkers from our sample of polydrug users, drinking was associated with heroin and cocaine craving and actual use.

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Conflict of interest statement

Conflicts of Interest: None declared

Figures

Figure 1
Figure 1
A. Overall percentages of random-prompt entries, craving-episode entries, and use entries in which alcohol drinking was reported; * denotes a significant difference between entry types, p < 0.001. B. Adjusted percentages of reports of drinking in random-prompt entries and intensity of ongoing drug craving from a Glimmix model controlling for age, sex, race, and location.
Figure 2
Figure 2
Distribution of random-prompt entries, craving-episode entries, and use entries with and without reports of alcohol drinking, in one-hour bins across the day.

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