Therapeutic Drug Monitoring Databases for Postmarketing Surveillance of Drug-Drug Interactions

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Abstract
The present study investigated the potential of therapeutic drug monitoring data to document pharmacokinetic drug interactions with psychotropic medication, both in terms of methodology and applicability. It focused on 105 patients exposed to one of five agents known for their capacity to induce (phenytoine, phenobarbital, and carbamazepine) or to inhibit (thioridazine and levomepromazine) the metabolism of psychotropic drugs. These patients were matched by gender, age, and monitored psychotropic medication to 105 patients randomly selected from a pool of subjects non-exposed to target comedication. Such a paired approach was shown to be effective in reducing variability for a majority of substances. Power analysis suggested that eight to 10 pairs of exposed and nonexposed patients would effectively allow the detection of twofold effects of interacting substances. In keeping with the literature, analysis of the ratios of dose-normalized exposed to nonexposed concentrations indicated that phenothiazine comedication led to significantly higher concentrations of desmethylated metabolites but not parent compounds, when clomipramine, imipramine, or amitriptyline were administered. A similar, as yet undocumented interaction was observed for the tetracyclic antidepressant mianserine. In contrast, the present study revealed that maprotiline concentrations were increased, but its metabolite was largely unaffected by phenothiazine comedication. Increased concentrations were also observed for moclobemide, but not citalopram or its metabolite. In addition to its long recognized capacity to decrease haloperidol concentrations, carbamazepine was shown to induce the metabolism of clopenthixol and possibly flupenthixol. The consistency of such a picture substantiates the need to consider therapeutic drug monitoring databases as cost-effective and reliable tools for postmarketing surveillance.