Predicting Outcome of Inpatient Detoxification of Substance Abusers

Franken, Ingmar H. A.; Hendriks, Vincent M.

doi:10.1176/ps.50.6.813

Cited by 77 publications

(63 citation statements)

References 18 publications

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“…We did not find any significant association between demographic characteristics and short-term detoxification outcome, which widely is in line with the results of Hien and Scheier [29] on a sample of women in alcohol and drug detoxification in the USA and with the results of Franken and Hendriks [23] in an inpatient detoxification clinic in the Netherlands. Other studies however report a relationship between discharges against medical advice and being single and attribute this to social isolation and lack of affiliation [30] .…”

Section: Sociodemographic Characteristics and Psychosocial Functioninsupporting

confidence: 90%

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Dual Diagnosis in an Inpatient Drug-Abuse Detoxification Unit

et al. 2007

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In Spain, detoxification in general hospitals plays an important role in the medical care of patients. We aim to provide clinicians with information on the prevalence and correlates of psychiatric co-morbidity in drug abusers in detoxification. A sample of 115 substance-abuse inpatients (mean age 31.9 ± 6.4 years) in a Detoxification Unit of a general university hospital was studied using the Spanish version of the PRISM. Most of the patients had multiple dependence diagnoses and co-morbid axis I or axis II psychiatric disorders. Patients with dual diagnosis showed lower psychosocial functioning than patients without co-morbidity and more dependence diagnoses due to cannabis and sedatives. A total of 80% of the patients successfully completed the detoxification process. The present results enhance the value of detoxification in a general hospital as a first step of the overall treatment strategy.

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Section: Sociodemographic Characteristics and Psychosocial Functioninsupporting

confidence: 90%

“…The drug use patterns in the sample reflect current trends of cocaine abuse in heroin addicts in Spain [e.g. 14 ] and the most commonly abused substances are identical to those of a detoxification sample in Valencia, Spain [11] and in The Hague, the Netherlands [23] . 80% of the sample completed detoxification.…”

Section: Prevalence Of Sud and Patterns Of Usementioning

confidence: 99%

Dual Diagnosis in an Inpatient Drug-Abuse Detoxification Unit

et al. 2007

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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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“…Despite many pharmacological and behavioral efforts, over 50% of these individuals drop out from treatment programs and inevitably relapse (Hattenschwiler et al, 2000;Franken and Hendriks, 1999). Studies identifying key factors that predict relapse are of great use in the addiction field (McKay, 1999, Donovan, 1996.…”

Section: Introductionmentioning

confidence: 99%