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1.
Psychiatry Investig ; 5(3): 175-8, 2008 Sep.
Article in English | MEDLINE | ID: mdl-20046362

ABSTRACT

OBJECTIVE: The Penn Alcohol Craving Scale (PACS) is a stronger predictor of subsequent drinking and relapse of alcohol dependence that can be administered more quickly and easily than other craving scales. The goal of this study was to develop the Korean version of the Penn Alcohol Craving Scale (PACS-K). METHODS: To examine the psychometric properties of the PACS-K, responses were chosen from 80 patients admitted to a treatment facility for alcohol dependence. RESULTS: The PACS-K possesses good psychometric properties, as assessed by Cronbach's alpha estimates (Cronbach's alpha=0.91). The test-retest reliability of the PACS-K showed high correlation (p<0.01) when the retest interval was 1 day. When the validity of the PACS-K was investigated using correlation analysis with two other craving scales (the Obsessive Compulsive Drinking Scale (OCDS) and the Visual Analogue Scale (VAS), high correlations were obtained between total PACS scores and total OCDS scores, and between total PACS scores and VAS scores (p<0.01, respectively). CONCLUSION: The PACS-K is a reliable and valid measure of alcohol cravings, and it could be useful for predicting which individuals are at risk for subsequent relapse.

2.
Clin Pharmacol Ther ; 78(5): 520-8, 2005 Nov.
Article in English | MEDLINE | ID: mdl-16321618

ABSTRACT

BACKGROUND AND OBJECTIVE: Despite the belief that cytochrome P450 (CYP) 2D6 alone is responsible for the metabolism of risperidone, several studies suggest that CYP3A may be involved. The aim of this study was to evaluate the effect of itraconazole, a CYP3A inhibitor, on the plasma concentrations of risperidone and 9-hydroxyrisperidone in schizophrenic patients in relation to CYP2D6 genotype. METHODS: Nineteen schizophrenic patients treated with 2 to 8 mg/d of risperidone received 200 mg/d of itraconazole for a week. Plasma concentrations of risperidone and 9-hydroxyrisperidone were measured immediately before and after itraconazole treatment, as well as at 1 week after itraconazole treatment was stopped, together with clinical assessment by use of the Udvalg for Kliniske Undersøgelser Side Effect Rating Scale and the Brief Psychiatric Rating Scale. RESULTS: Dose-normalized plasma concentrations of risperidone and 9-hydroxyrisperidone before itraconazole treatment (0.9 +/- 0.8 ng.mL(-1).mg(-1) and 6.9 +/- 3.3 ng.mL(-1).mg(-1), respectively) were significantly elevated after itraconazole treatment (1.6 +/- 1.3 ng.mL(-1).mg(-1) and 11.3 +/- 4.5 ng.mL(-1).mg(-1)) and decreased 1 week after its discontinuation (1.0 +/- 0.8 ng.mL(-1).mg(-1) and 7.2 +/- 3.7 ng.mL(-1).mg(-1)) (P < .01). However, the ratio of risperidone/9-hydroxyrisperidone, an index of CYP2D6 activity, did not differ before itraconazole treatment (0.14 +/- 0.13), after itraconazole treatment (0.15 +/- 0.13), and 1 week after discontinuation (0.14 +/- 0.13) (P > .05). Itraconazole increased the concentrations of risperidone by 69% (P < .001) and 75% (P < .01) in CYP2D6 extensive and poor metabolizers, respectively. In addition, the active moiety (risperidone plus 9-hydroxyrisperidone) also increased similarly, by 71% (P < .001) and 73% (P < .05), respectively, with itraconazole, without a significant difference between CYP2D6 genotypes. The scores on the Brief Psychiatric Rating Scale decreased significantly but only by 6% after itraconazole treatment (P < .05); however, the scores on the Udvalg for Kliniske Undersøgelser Side Effect Rating Scale were not changed. CONCLUSIONS: Our results provide in vivo evidence of the involvement of CYP3A in the disposition of risperidone and 9-hydroxyrisperidone. In addition to CYP2D6, treatment with CYP3A inhibitor(s) including itraconazole may influence clinical symptoms and risperidone side effects.


Subject(s)
Antifungal Agents/adverse effects , Antipsychotic Agents/pharmacokinetics , Cytochrome P-450 CYP3A Inhibitors , Enzyme Inhibitors/adverse effects , Isoxazoles/blood , Itraconazole/adverse effects , Pyrimidines/blood , Risperidone/blood , Schizophrenia/blood , Adult , Antipsychotic Agents/therapeutic use , Chromatography, High Pressure Liquid , Cytochrome P-450 CYP3A/genetics , Dose-Response Relationship, Drug , Drug Interactions , Female , Genotype , Half-Life , Humans , Male , Middle Aged , Paliperidone Palmitate , Psychiatric Status Rating Scales , Risperidone/therapeutic use , Schizophrenia/drug therapy
3.
Alcohol Clin Exp Res ; 28(7): 986-90, 2004 Jul.
Article in English | MEDLINE | ID: mdl-15252283

ABSTRACT

BACKGROUND: The functional polymorphism (A118G) of the mu-opioid receptor gene (OPRM1) is thought to have clinical significance in the treatment of alcohol dependence. This study compared Koreans with one or two copies of the A118G polymorphism seeking treatment for alcohol dependence with a group of non-alcohol-dependent controls. METHODS: Patients hospitalized for alcohol dependence (n = 112) and a group of non-alcohol-dependent controls (n = 140) were interviewed on aspects of drinking history and psychiatric history. Patients and controls were excluded if they met criteria for any other major psychiatric disorder. Participants were genotyped at the OPRM1 locus. RESULTS: The allele frequency of the Asp40 allele was 0.397 in the alcohol-dependent group, which is consistent with other literature demonstrating this polymorphism to be common in Asian populations. Within the alcohol-dependent subjects, being homozygous for the Asp40 allele was associated with more days drinking than those heterozygous or homozygous for the Asn40 allele. Differences in the allele frequencies between alcohol-dependent and non-alcohol-dependent controls were not significant. CONCLUSIONS: These results suggest that having one or two copies of the A118G allele is common among Koreans and may be an important genetic factor in the etiology of alcohol dependence and the frequency of alcohol consumption.


Subject(s)
Alcoholism/genetics , Asian People/genetics , Receptors, Opioid, mu/genetics , Aged , Chi-Square Distribution , Confidence Intervals , Female , Gene Frequency/genetics , Genotype , Humans , Linear Models , Male , Middle Aged , Odds Ratio , Polymorphism, Genetic/genetics
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