Real-time electronic diary reports of cue exposure and mood in the hours before cocaine and heroin craving and use.
Real-time electronic diary reports of cue exposure and mood in the hours before cocaine and heroin craving and use.
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DOI:
10.1001/archgenpsychiatry.2008.509
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发表时间:
2009-01
影响因子:
--
通讯作者:
Preston, Kenzie L.
中科院分区:
文献类型:
--
作者:
Epstein, David H.;Willner-Reid, Jessica;Vahabzadeh, Massoud;Mezghanni, Mustapha;Lin, Jia-Ling;Preston, Kenzie L.
In Ecological Momentary Assessment (EMA), participants electronically report their activities and moods in their daily environments in real time, enabling a truly prospective approach to the study of acute precipitants of behavioral events. EMA has greatly enhanced the study of tobacco addiction, but has rarely been attempted in individuals with cocaine or heroin addiction. To prospectively monitor the acute daily-life precipitants of craving for, and use of, cocaine and heroin. Cohort study. A volunteer sample of 114 cocaine- and heroin-abusing outpatients who were being treated with methadone provided EMA data on handheld computers for 14,918 person-days (mean 130.9 days per participant, range 6–189). Of those 114, a total of 102 (63 men, 39 women) provided acute pre-craving or pre-use data and were thus included in the present analyses. Changes in reports of mood and exposure to 12 putative drug-use triggers at random intervals during the five hours preceding each self-reported episode of drug craving or use, analyzed via repeated-measures logistic regression (SAS GLIMMIX macro). During the five hours preceding cocaine use or heroin craving, most of the 12 putative triggers showed linear increases. Cocaine use was most robustly associated with increases in reports of “Saw Drug” (p<.0001), “Tempted to use out of the blue” (p<.0001), “Wanted to see what would happen if I used” (p<.0001), and “Good mood” (p<.0001). Heroin craving was most robustly associated with increases in reports of “Sad” (p=.0002) and “Angry” (p<.011). Cocaine craving and heroin use showed few reliable associations with any of the putative triggers assessed. These findings confirm that polydrug-abusing individuals can provide behavioral data in their daily environments using handheld computers, and that those data can reveal orderly patterns, including prospectively detectable harbingers of craving and use, which may differ across drugs.
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