1999
DOI: 10.1046/j.1365-2125.1999.00029.x
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The antitussive effect of dextromethorphan in relation to CYP2D6 activity

Abstract: Aims To test the hypothesis that inhibition of cytochrome P450 2D6 (CYP2D6) by quinidine increases the antitussive effect of dextromethorphan (DEX) in an induced cough model. Methods Twenty-two healthy extensive metaboliser phenotypes for CYP2D6 were studied according to a double-blind, randomised cross-over design after administration of : (1) Placebo antitussive preceded at 1 h by placebo inhibitor; (2) 30 mg oral DEX preceded at 1 h by placebo inhibitor (DEX30); (3) 60 mg oral DEX preceded at 1 h by placebo… Show more

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Cited by 44 publications
(25 citation statements)
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References 20 publications
(4 reference statements)
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“…There was a 1 h lag time before the onset of placebo action. The estimated Cough challenge overall effect, as measured by AUEC (area under As explained in our previous report, 20 a 10% w/v the effect-time curve), was 15.9 (coughs.h). Table 1 solution of citric acid was prepared by diluting a stock indicates the characteristics of the models used and 1 M solution with 0.9% saline, and 3 ml was placed their respective AIC values.…”
Section: Methodsmentioning
confidence: 67%
“…There was a 1 h lag time before the onset of placebo action. The estimated Cough challenge overall effect, as measured by AUEC (area under As explained in our previous report, 20 a 10% w/v the effect-time curve), was 15.9 (coughs.h). Table 1 solution of citric acid was prepared by diluting a stock indicates the characteristics of the models used and 1 M solution with 0.9% saline, and 3 ml was placed their respective AIC values.…”
Section: Methodsmentioning
confidence: 67%
“…However, a number of experimental approaches are possible involving deliberate or natural perturbation of the drug/metabolite ratio. These include administration of the metabolite alone [1], inhibition of the metabolic pathway that is responsible for the formation of the metabolite [2, 3], and investigation of pharmacological effect in subpopulations who are polymorphic with respect to the biotransformation pathway that produces the active metabolite [4, 5]. PK–PD modelling can be used as a complementary step in all of the above methods [6–8], where inter‐ or intra‐individual differences in plasma concentration–time profiles between the parent drug and its metabolite are used to quantify the effect of each chemical moiety.…”
Section: Introductionmentioning
confidence: 99%
“…Capon et al 20 were successful in demonstrating a difference in the AUC of dextromethorphan between 6 EM and 6 PM subjects but failed to detect a significant difference in antitussive response between these groups or between EMs and the same individuals phenocopied to PMs by administration of quinidine. Abdul Manap et al 21 carried out a similar study with a larger size of 22 EM subjects who were phenocopied to PMs and also detected a significant phenotypic difference in PK but not PD. The present study predicts that these 2 studies had powers of 95% and 100%, respectively, to differentiate differences in the PK of dextromethorphan between EMs and PMs but powers of only 10% and 15%, respectively to detect differences in PD.…”
Section: Discussionmentioning
confidence: 94%
“… The power (%) of simulated studies to show significant differences in AUC and AUEC between CYP2D6 phenotypes versus the number of subjects in each study arm (n). The arrows indicate the size of published studies: (a) Capon et al 20 and (b) Abdul Manap et al 21 …”
Section: Resultsmentioning
confidence: 99%