Effectiveness of Inpatient Drug Detoxification: Links between Process and Outcome Variables

Hättenschwiler, Josef; Rüesch, Peter; Hell, Daniel

doi:10.1159/000019024

Cited by 12 publications

(8 citation statements)

References 12 publications

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“…2001;Hattenschwiler, Ruesch & Hell 2000;Vaillant 1988). Vaillant's results noted that 95% of addicts relapse at least once within two years of treatment.…”

Section: Discussionmentioning

confidence: 99%

Closing the Gaps: The Impact of Inpatient Detoxification and Continuity of Care on Client Outcomes

Ford¹,

Zarate²

2010

Journal of Psychoactive Drugs

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“…2001;Hattenschwiler, Ruesch & Hell 2000;Vaillant 1988). Vaillant's results noted that 95% of addicts relapse at least once within two years of treatment.…”

Section: Discussionmentioning

confidence: 99%

Closing the Gaps: The Impact of Inpatient Detoxification and Continuity of Care on Client Outcomes

Ford¹,

Zarate²

2010

Journal of Psychoactive Drugs

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“…Despite the efforts to treat substance-dependent patients effectively, treatment dropout rates are generally 450% and most patients subsequently relapse (Miller, 1996;Franken and Hendriks, 1999;Hättenschwiler et al, 2000). The identification of predictors of substance use relapse have been of high interest in addiction research (eg, Miller et al, 1996;Donovan, 1996;McKay, 1999).…”

Section: Introductionmentioning

confidence: 99%

Individual Differences in Anterior Cingulate Activation Associated with Attentional Bias Predict Cocaine Use After Treatment

Marhe

Luijten

Wetering

et al. 2013

Neuropsychopharmacol

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Drug-dependent patients often relapse into drug use after treatment. Behavioral studies show that enhanced attentional bias to drug cues is a precursor of relapse. The present functional magnetic resonance imaging (fMRI) study examined whether brain regions involved in attentional bias are predictive of cocaine use after treatment. Attentional bias-related brain activity was measured-with a cocaine Stroop task-in cocaine-dependent patients during their first week in detoxification treatment and was used to predict cocaine use at 3-month follow-up. The predictive value of attentional bias-related brain activity in a priori defined regions of interest, in addition to other measures such as self-reports of substance severity, craving, and behavioral attentional bias were examined. The results show that craving in the week before treatment and individual variability in attentional bias-related activity in the dorsal anterior cingulate cortex (dACC) were significant predictors of days of cocaine use at 3-month follow-up and accounted for 45% in explained variance. Brain activity in the dACC uniquely contributed 22% of explained variance to the prediction model. These findings suggest that hyperactive attentional biasrelated brain activity in the dACC might be a biomarker of relapse vulnerability as early as in the first week of detoxification treatment. Ultimately, this may help to develop individually tailored treatment interventions to reduce relapse risk.

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“…In outcome studies on such comprehensive opiate detoxification programs, regular completion rates ranged between 40 and 72% [2,[7][8][9][10][11][12][13] . Thus, a significant proportion of patients did not reach treatment goals, but success rates also varied considerably between studies.…”

Section: Introductionmentioning

confidence: 99%

Prediction of the Outcome of Inpatient Opiate Detoxification Treatment: Results from a Multicenter Study

et al. 2011

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Background: Monocentric studies of inpatient opiate detoxification treatment show considerable variability regarding treatment success rates. This multicentric study investigates whether patient characteristics explain the different rates of regular discharge between treatment units. Methods: 1,017 opiate-dependent patients from 12 detoxification units with similar treatment programs, funding, staffing and equipment were analyzed. Patient data and outcomes were documented by treatment staff using a standard form. Results: Controlling for center, regular discharge (range: 14–49% between centers) was significantly associated with pre-existing plans for follow-up treatment, previous completed long-term residential and detoxification treatments, fewer unsuccessful detoxification treatments, higher age, later onset of opiate use, and longer duration of use. Controlling for patient characteristics, the center variable was significantly associated with outcome in a multiple logistic regression analysis. Conclusions: Regular discharge could best be predicted by patients’ plans for follow-up treatment and previous treatment outcomes. Although treatment units had equivalent resources and regulations, and although patient effects were statistically controlled for, there were still considerable center effects. Setting factors as well as actual drop-out processes should be investigated more closely in the future.

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Effectiveness of Inpatient Drug Detoxification: Links between Process and Outcome Variables

Cited by 12 publications

References 12 publications

Closing the Gaps: The Impact of Inpatient Detoxification and Continuity of Care on Client Outcomes

Closing the Gaps: The Impact of Inpatient Detoxification and Continuity of Care on Client Outcomes

Individual Differences in Anterior Cingulate Activation Associated with Attentional Bias Predict Cocaine Use After Treatment

Prediction of the Outcome of Inpatient Opiate Detoxification Treatment: Results from a Multicenter Study

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