Replacement of (R)-methadone by a double dose of (R,S)-methadone in addicts: interindividual variability of the (R)/(S) ratios and evidence of adaptive changes in methadone pharmacokinetics.

METHODS: Twenty-two patients receiving (R)-methadone maintenance treatment were switched to a double dose of (R,S)-methadone: blood samples were collected before and after the change, and the concentrations of the enantiomers were measured. In the second period, during racemic methadone treatment, important interindividual variability in the stereoselective disposition of the enantiomers of methadone was measured, with (R)/(S) ratios ranging from 0.63 to 2.40. This point should be taken into account particularly with respect to therapeutic drug monitoring of racemic methadone. RESULTS: A significant decrease P < 0.005 in the mean serum concentration/dose ratios of the active (R)-enantiomer before and after the change was measured (mean 3.97 and 3.33). CONCLUSION: Although of small amplitude (16%), this decrease confirms previously described adaptive changes in methadone pharmacokinetics during racemic methadone maintenance treatment and may necessitate, in some patients, a dose adjustment.

Interindividual variability of the clinical pharmacokinetics of methadone: implications for the treatment of opioid dependence

Methadone is widely used for the treatment of opioid dependence. Although in most countries the drug is administered as a racemic mixture of (R)- and (S)- methadone, (R)-methadone accounts for most, if not all, of the opioid effects. Methadone can be detected in the blood 15-45 minutes after oral administration, with peak plasma concentration at 2.5-4 hours. Methadone has a mean bioavailability of around 75% (range 36-100%). Methadone is highly bound to plasma proteins, in particular to alpha(1)-acid glycoprotein. Its mean free fraction is around 13%, with a 4-fold interindividual variation. Its volume of distribution is about 4 L/kg (range 2-13 L/kg). The elimination of methadone is mediated by biotransformation, followed by renal and faecal excretion. Total body clearance is about 0.095 L/min, with wide interindividual variation (range 0.02-2 L/min). Plasma concentrations of methadone decrease in a biexponential manner, with a mean value of around 22 hours (range 5-130 hours) for elimination half-life. For the active (R)-enantiomer, mean values of around 40 hours have been determined. Cytochrome P450 (CYP) 3A4 and to a lesser extent 2D6 are probably the main isoforms involved in methadone metabolism. Rifampicin (rifampin), phenobarbital, phenytoin, carbamazepine, nevirapine, and efavirenz decrease methadone blood concentrations, probably by induction of CYP3A4 activity, which can result in severe withdrawal symptoms. Inhibitors of CYP3A4, such as fluconazole, and of CYP2D6, such as paroxetine, increase methadone blood concentrations. There is an up to 17-fold interindividual variation of methadone blood concentration for a given dosage, and interindividual variability of CYP enzymes accounts for a large part of this variation. Since methadone probably also displays large interindividual variability in its pharmacodynamics, methadone treatment must be individually adapted to each patient. Because of the high morbidity and mortality associated with opioid dependence, it is of major importance that methadone is used at an effective dosage in maintenance treatment: at least 60 mg/day, but typically 80-100 mg/day. Recent studies also show that a subset of patients might benefit from methadone dosages larger than 100 mg/day, many of them because of high clearance. In clinical management, medical evaluation of objective signs and subjective symptoms is sufficient for dosage titration in most patients. However, therapeutic drug monitoring can be useful in particular situations. In the case of non-response trough plasma concentrations of 400 microg/L for (R,S)-methadone or 250 microg/L for (R)-methadone might be used as target values.

Valproic acid has temporal variability in urinary clearance of metabolites

The reasons for the intra- and interindividual variability in the clearance of valproic acid (VPA) have not been completely characterized. The aim of this study was to examine day-night changes in the clearance of 3-oxo-valproate (3-oxo-VPA), 4-hydroxy-valproate (4-OH-VPA), and valproic acid glucuronides under steady state. Six diurnally active healthy male volunteers ingested 200 mg sodium valproate 12 hourly, at 0800 and 2000, for 28 days. On the last study day, two sequential 12-h urine samples were collected commencing at 2000 the evening before. Plasma samples were obtained at the end of each collection. Following alkaline hydrolysis, urine was analyzed for concentrations of VPA, 3-oxo-VPA, and 4-OH-VPA. A separate aliquot was assayed for creatinine (CR). The plasma concentrations of VPA, 3-oxo-VPA, 2-en-VPA, and CR were determined. The analysis of VPA and its metabolites was performed by CC-MS. There was an increase in plasma 3-oxo-VPA concentration at 0800, sampling as compared to 2000 sampling (p < .05). The urinary excretion of 3-oxo-VPA and VPA glucuronides were decreased between 2000 and 0800, compared to between 0800, and 2000, by 30% and 50% respectively (p < .05). These results indicate a nocturnal decrease in renal clearance of 3-oxo-VPA rather than a decrease in the beta -oxidation of VPA at night. These differences were not explained by differences between the sampling periods in CR excretion. These results indicate the importance of collecting samples of 24-h duration when studying metabolic profiles of VPA.

Imatinib plasma concentrations variability in oncologic patients

The anticancer drug imatinib has transformed the treatment and prognosis of chronic myeloid leukemia and gastrointestinal stromal tumor. However, the treatment must be taken indefinitely and is not devoid of inconveniences and toxicity. Moreover, resistance or escape from disease control are occurring. Considering the large interindividual differences in the function of the enzymatic and transport systems involved in imatinib disposition, exposure to this drug can be expected to vary widely among patients. This book describes an observational clinical trial aiming at exploring the influence of these covariates on imatinib pharmacokinetics and assessing the interindividual variability of the pharmacokinetic parameters of the drug. A large interindividual variability was observed, together with some preliminary concentration-effect relationships. These elements are arguments to further investigate the potential benefit of a therapeutic drug monitoring program to optimize the use of imatinib in patients. Such results should be especially useful to clinical oncologists or scientists involved in clinical oncology research.

Biological exposure indicators: quantification of biological variability using toxicokinetic modeling

Compartmental and physiologically based toxicokinetic modeling coupled with Monte Carlo simulation were used to quantify the impact of biological variability (physiological, biochemical, and anatomic parameters) on the values of a series of bio-indicators of metal and organic industrial chemical exposures. A variability extent index and the main parameters affecting biological indicators were identified. Results show a large diversity in interindividual variability for the different categories of biological indicators examined. Measurement of the unchanged substance in blood, alveolar air, or urine is much less variable than the measurement of metabolites, both in blood and urine. In most cases, the alveolar flow and cardiac output were identified as the prime parameters determining biological variability, thus suggesting the importance of workload intensity on absorbed dose for inhaled chemicals.

Imatinib plasma concentrations variability in hemato-oncologic patients

Abstract Imatinib (Glivec~ has transformed the treatment and prognosis of chronic myeloid leukaemia (CML) and of gastrointestinal stromal tumor (GIST). However, the treatment must be taken indefinitely and is not devoid of inconvenience and toxicity. Moreover, resistance or escape from disease control occurs. Considering the large interindividual differences in the function of the enzymatic and transport systems involved in imatinib disposition, exposure to this drug can be expected to vary widely among patients. Among those known systems is a cytochrome P450 (CYI'3A4) that metabolizes imatinib, the multidrug transporter P-glycoprotein (P-gp; product of the MDR1 gene) that expels imatinib out of cells, and al-acid glycoprotein (AGP), a circulating protein binding imatinib in the plasma. The aim of this observational study was to explore the influence of these covariates on imatinib pharmacokinetics (PK), to assess the interindividual variability of the PK parameters of the drug, and to evaluate whether imatinib use would benefit from a therapeutic drug monitoring (TDM) program. A total of 321 plasma concentrations were measured in 59 patients receiving imatinib, using a validated chromatographic method developed for this study (HPLC-LTV). The results were analyzed by non-linear mixed effect modeling (NONMEM). A one-compartment pharmacokinetic model with first-order absorption appropriately described the data, and a large interindividual variability was observed. The MDK> polymorphism 3435C>T and the CYP3A4 activity appeared to modulate the disposition of imatinib, albeit not significantly. A hyperbolic relationship between plasma AGP levels and oral clearance, as well as volume of distribution, was observed. A mechanistic approach was built up, postulating that only the unbound imatinib concentration was able to undergo first-order elimination. This approach allowed determining an average free clearance (CL,~ of 13101/h and a volume of distribution (Vd) of 301 1. By comparison, the total clearance determined was 141/h (i.e. 233 ml/min). Free clearance was affected by body weight and pathology diagnosis. The estimated variability of imatinib disposition (17% for CLu and 66% for Vd) decreased globally about one half with the model incorporating the AGP impact. Moreover, some associations were observed between PK parameters of the free imatinib concentration and its efficacy and toxicity. Finally, the functional influence of P-gp activity has been demonstrated in vitro in cell cultures. These elements are arguments to further investigate the possible usefulness of a TDM program for imatinib. It may help in individualizing the dosing regimen before overt disease progression or development of treatment toxicity, thus improving both the long-term therapeutic effectiveness and tolerability of this drug. Résumé L'imatinib (Glivec ®) a révolutionné le traitement et le pronostic de la leucémie myéloïde chronique (LMC) et des tumeurs stromales d'origine digestive (GIST). Il s'agit toutefois d'un traitement non dénué d'inconvénients et de toxicité, et qui doit être pris indéfiniment. Par ailleurs, une résistance, ou des échappements au traitement, sont également rencontrés. Le devenir de ce médicament dans l'organisme dépend de systèmes enzymatiques et de transport connus pour présenter de grandes différences interindividuelles, et l'on peut s'attendre à ce que l'exposition à ce médicament varie largement d'un patient à l'autre. Parmi ces systèmes, on note un cytochrome P450 (le CYP3A4) métabolisant l'imatinib, la P-glycoprotéine (P-gp ;codée par le gène MDR1), un transporteur d'efflux expulsant le médicament hors des cellules, et l'atglycoprotéine acide (AAG), une protéine circulante sur laquelle se fixe l'imatinib dans le plasma. L'objectif de la présente étude clinique a été de déterminer l'influence de ces covariats sur la pharmacocinétique (PK) de l'imatinib, d'établir la variabilité interindividuelle des paramètres PK du médicament, et d'évaluer dans quelle mesure l'imatinib pouvait bénéficier d'un programme de suivi thérapeutique (TDM). En utilisant une méthode chromatographique développée et validée à cet effet (HPLC-UV), un total de 321 concentrations plasmatiques a été dosé chez 59 patients recevant de l'imatinib. Les résultats ont été analysés par modélisation non linéaire à effets mixtes (NONMEM). Un modèle pharmacocinétique à un compartiment avec absorption de premier ordre a permis de décrire les données, et une grande variabilité interindividuelle a été observée. Le polymorphisme du gène MDK1 3435C>T et l'activité du CYP3A4 ont montré une influence, toutefois non significative, sur le devenir de l'imatinib. Une relation hyperbolique entre les taux plasmatiques d'AAG et la clairance, comme le volume de distribution, a été observée. Une approche mécanistique a donc été élaborée, postulant que seule la concentration libre subissait une élimination du premier ordre. Cette approche a permis de déterminer une clairance libre moyenne (CLlibre) de 13101/h et un volume de distribution (Vd) de 301 l. Par comparaison, la clairance totale était de 141/h (c.à.d. 233 ml/min). La CLlibre est affectée par le poids corporel et le type de pathologie. La variabilité interindividuelle estimée pour le devenir de l'imatinib (17% sur CLlibre et 66% sur Vd) diminuait globalement de moitié avec le modèle incorporant l'impact de l'AAG. De plus, une certaine association entre les paramètres PK de la concentration d'imatinib libre et l'efficacité et la toxicité a été observée. Finalement, l'influence fonctionnelle de l'activité de la P-gp a été démontrée in nitro dans des cultures cellulaires. Ces divers éléments constituent des arguments pour étudier davantage l'utilité potentielle d'un programme de TDM appliqué à l'imatinib. Un tel suivi pourrait aider à l'individualisation des régimes posologiques avant la progression manifeste de la maladie ou l'apparition de toxicité, améliorant tant l'efficacité que la tolérabilité de ce médicament. Résumé large public L'imatinib (un médicament commercialisé sous le nom de Glivec ®) a révolutionné le traitement et le pronostic de deux types de cancers, l'un d'origine sanguine (leucémie) et l'autre d'origine digestive. Il s'agit toutefois d'un traitement non dénué d'inconvénients et de toxicité, et qui doit être pris indéfiniment. De plus, des résistances ou des échappements au traitement sont également rencontrés. Le devenir de ce médicament dans le corps humain (dont l'étude relève de la discipline appelée pharmacocinétique) dépend de systèmes connus pour présenter de grandes différences entre les individus, et l'on peut s'attendre à ce que l'exposition à ce médicament varie largement d'un patient à l'autre. Parmi ces systèmes, l'un est responsable de la dégradation du médicament dans le foie (métabolisme), l'autre de l'expulsion du médicament hors des cellules cibles, alors que le dernier consiste en une protéine (dénommée AAG) qui transporte l'imatinib dans le sang. L'objectif de notre étude a été de déterminer l'influence de ces différents systèmes sur le comportement pharmacocinétique de l'imatinib chez les patients, et d'étudier dans quelle mesure le devenir de ce médicament dans l'organisme variait d'un patient à l'autre. Enfin, cette étude avait pour but d'évaluer à quel point la surveillance des concentrations d'imatinib présentes dans le sang pourrait améliorer le traitement des patients cancéreux. Une telle surveillance permet en fait de connaître l'exposition effective de l'organisme au médicament (concept abrégé par le terme anglais TDM, pour Therapeutic Drag Monitoring. Ce projet de recherche a d'abord nécessité la mise au point d'une méthode d'analyse pour la mesure des quantités (ou concentrations) d'imatinib présentes dans le sang. Cela nous a permis d'effectuer régulièrement des mesures chez 59 patients. Il nous a ainsi été possible de décrire le devenir du médicament dans le corps à l'aide de modèles mathématiques. Nous avons notamment pu déterminer chez ces patients la vitesse à laquelle l'imatinib est éliminé du sang et l'étendue de sa distribution dans l'organisme. Nous avons également observé chez les patients que les concentrations sanguines d'imatinib étaient très variables d'un individu à l'autre pour une même dose de médicament ingérée. Nous avons pu aussi mettre en évidence que les concentrations de la protéine AAG, sur laquelle l'imatinib se lie dans le sang, avait une grande influence sur la vitesse à laquelle le médicament est éliminé de l'organisme. Ensuite, en tenant compte des concentrations sanguines d'imatinib et de cette protéine, nous avons également pu calculer les quantités de médicament non liées à cette protéine (= libres), qui sont seules susceptibles d'avoir une activité anticancéreuse. Enfin, il a été possible d'établir qu'il existait une certaine relation entre ces concentrations, l'effet thérapeutique et la toxicité du traitement. Tous ces éléments constituent des arguments pour approfondir encore l'étude de l'utilité d'un programme de TDM appliqué à l'imatinib. Comme chaque patient est différent, un tel suivi pourrait aider à l'ajustement des doses du médicament avant la progression manifeste de la maladie ou l'apparition de toxicité, améliorant ainsi tant son efficacité que son innocuité.

A history and overview of phenotypic variability in CYP2D6 activity

CYP2D6 is a human cytochrome P450 that is responsible for the metabolism of a large number of drugs and chemicals. Interest in CYP2D6 has largely centered on the wide interindividual variability in its catalytic activity that stems from a common genetic polymorphism in the CYP2D6 gene. Two major phenotypes exist, extensive metabolizer (EM) and poor metabolizer (PM), together with the two less studied phenotypes of ultrarapid metabolizer (UM) and intermediate metabolizer. These phenotypes are the expression of an underlying allelomorphism in CYP2D6 and are also context dependent. Several drugs that are CYP2D6 substrates display polymorphic metabolism, that is, the existence in the population of multiple phenotypes, in particular EM and PM. The most notable drugs in this regard are debrisoquine and sparteine, although there are also data for a few others, in particular, dextromethorphan and metoprolol. Many nongenetic factors can alter the expression of CYP2D6 phenotypes, the most significant of which is the presence of other drugs. In this context, the EM phenotype may not be immutable, with potential conversion into a PM phenocopy, due to significantly impaired CYP2D6 metabolism in the presence of other CYP2D6 substrates and inhibitors. This phenotype interconversion generated great concern and helped drive the movement away from phenotyping based upon drug administration to genotyping of acquired DNA samples. However, ascertaining the presence of CYP2D6 alleles in a DNA sample does not determine the metabolism and pharmacokinetics of CYP2D6 substrates in that subject: it is a forecast, much like the weather forecast and, as we all know regarding the weather, the forecast can be inaccurate at times.

Genetic Predictors Of Long-term Response To Growth Hormone (gh) Therapy In Children With Gh Deficiency And Turner Syndrome: The Influence Of A Socs2 Polymorphism.

There is great interindividual variability in the response to GH therapy. Ascertaining genetic factors can improve the accuracy of growth response predictions. Suppressor of cytokine signaling (SOCS)-2 is an intracellular negative regulator of GH receptor (GHR) signaling. The objective of the study was to assess the influence of a SOCS2 polymorphism (rs3782415) and its interactive effect with GHR exon 3 and -202 A/C IGFBP3 (rs2854744) polymorphisms on adult height of patients treated with recombinant human GH (rhGH). Genotypes were correlated with adult height data of 65 Turner syndrome (TS) and 47 GH deficiency (GHD) patients treated with rhGH, by multiple linear regressions. Generalized multifactor dimensionality reduction was used to evaluate gene-gene interactions. Baseline clinical data were indistinguishable among patients with different genotypes. Adult height SD scores of patients with at least one SOCS2 single-nucleotide polymorphism rs3782415-C were 0.7 higher than those homozygous for the T allele (P < .001). SOCS2 (P = .003), GHR-exon 3 (P= .016) and -202 A/C IGFBP3 (P = .013) polymorphisms, together with clinical factors accounted for 58% of the variability in adult height and 82% of the total height SD score gain. Patients harboring any two negative genotypes in these three different loci (homozygosity for SOCS2 T allele; the GHR exon 3 full-length allele and/or the -202C-IGFBP3 allele) were more likely to achieve an adult height at the lower quartile (odds ratio of 13.3; 95% confidence interval of 3.2-54.2, P = .0001). The SOCS2 polymorphism (rs3782415) has an influence on the adult height of children with TS and GHD after long-term rhGH therapy. Polymorphisms located in GHR, IGFBP3, and SOCS2 loci have an influence on the growth outcomes of TS and GHD patients treated with rhGH. The use of these genetic markers could identify among rhGH-treated patients those who are genetically predisposed to have less favorable outcomes.

An Update On The Pharmacogenetics Of Treating Hypertension.

Hypertension is a leading cause of cardiovascular mortality, but only one third of patients achieve blood pressure goals despite antihypertensive therapy. Genetic polymorphisms may partially account for the interindividual variability and abnormal response to antihypertensive drugs. Candidate gene and genome-wide approaches have identified common genetic variants associated with response to antihypertensive drugs. However, there is no currently available pharmacogenetic test to guide hypertension treatment in clinical practice. In this review, we aimed to summarize the recent findings on pharmacogenetics of the most commonly used antihypertensive drugs in clinical practice, including diuretics, angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers, beta-blockers and calcium channel blockers. Notably, only a small percentage of the genetic variability on response to antihypertensive drugs has been explained, and the vast majority of the genetic variants associated with antihypertensives efficacy and toxicity remains to be identified. Despite some genetic variants with evidence of association with the variable response related to these most commonly used antihypertensive drug classes, further replication is needed to confirm these associations in different populations. Further studies on epigenetics and regulatory pathways involved in the responsiveness to antihypertensive drugs might provide a deeper understanding of the physiology of hypertension, which may favor the identification of new targets for hypertension treatment and genetic predictors of antihypertensive response.Journal of Human Hypertension advance online publication, 28 August 2014; doi:10.1038/jhh.2014.76.

Leg preference and interlateral performance asymmetry in soccer player children

Strength of leg peference and interlateral asymmetry in kinematics of kicking a ball for power were assessed in 6- to 10-year-old right-footed soccer player children. Leg preference was evaluated separately for three task categories: balance stabilization, soccer related mobilization, and general mobilization. The results showed that while both categories of mobilization tasks were featured by a consistent preference for the right leg, in stabilization tasks we observed lower scores and greater interindividual variability of leg preference. No effect of age was detected on leg preference. Analysis of peak foot velocity revealed similar increment of performance of the right and left legs from the ages 6-8 to 10 years. This finding supports the notion of stable Magnitude of interlateral asymmetries of performance during motor development. (C) 2008 Wiley Periodicals, Inc. Dev Psychobiol 50: 799-806, 2008.

Population pharmacokinetics of perhexiline from very sparse, routine monitoring data

Using NONMEM, the population pharmacokinetics of perhexiline were studied in 88 patients (34 F, 54 M) who were being treated for refractory angina. Their mean +/- SD (range) age was 75 +/- 9.9 years (46-92), and the length of perhexiline treatment was 56 +/- 77 weeks (0.3-416). The sampling time after a dose was 14.1 +/- 21.4 hours (0.5-200), and the perhexiline plasma concentrations were 0.39 +/- 0.32 mg/L (0.03-1.56). A one-compartment model with first-order absorption was fitted to the data using the first-order (FO) approximation. The best model contained 2 subpopulations (obtained via the $MIXTURE subroutine) of 77 subjects (subgroup A) and 11 subjects (subgroup B) that had typical values for clearance (CL/F) of 21.8 L/h and 2.06 L/h, respectively. The volumes of distribution (V/F) were 1470 L and 260 L, respectively, which suggested a reduction in presystemic metabolism in subgroup B. The interindividual variability (CV%) was modeled logarithmically and for CL/F ranged from 69.1% (subgroup A) to 86.3% (subgroup B). The interindividual variability in V/F was 111%. The residual variability unexplained by the population model was 28.2%. These results confirm and extend the existing pharmacokinetic data on perhexiline, especially the bimodal distribution of CL/F manifested via an inherited deficiency in hepatic and extrahepatic CYP2D6 activity.

Distribution of C-14 Cylindrospermopsin in vivo in the mouse

Radiolabelled C-14 cylindrospermopsin (CYN) has been prepared and used to investigate the distribution and excretion of CYN in vivo in male Quackenbush mice. At a dose of 0.2 mg/kg (i.e., approx. median lethal dose) the following mean (SID) urinary and faecal recoveries (cumulative) were obtained, respectively: (0-6 hours, n = 4) 48.2 (29.3)%, 11.9 (21.4)%; (0-12 hours, n = 12) 66.0 (27.1)%, 5.7 (5.6)%; (0-24 hours, n = 12) 68.4 (26.7)%, 8.5 (8.1)%. Mean (SD) recoveries from livers at 6 hours were 20.6 (6.4)% (n = 4), at 48 hours 13.1 (7.7)% (n = 8), and 5-7 days were 2.1 (2.1)% (n = 8). A substantial amount (up to 23%) can be retained in the liver for up to 48 hours with a lesser amount retained in the kidneys. The excretion patterns show substantial interindividual variability between predominantly faecal or urinary excretion, but these patterns are not related in any simple manner to the outcome in terms of toxicity. There is at least one methanol-extractable metabolite as well as a nonmethanol-extractable metabolite in the liver. The methanol-extractable metabolite was not found in the kidney and is more hydrophilic than CYN itself on reverse phase. (C) 2001 by John Wiley & Sons, Inc.

β-Arrestin2 influences the response to methadone in opioid-dependent patients.

β-Arrestin2 (ARRB2) is a component of the G-protein-coupled receptor complex and is involved in μ-opioid and dopamine D(2) receptor signaling, two central processes in methadone signal transduction. We analyzed 238 patients in methadone maintenance treatment (MMT) and identified a haplotype block (rs34230287, rs3786047, rs1045280 and rs2036657) spanning almost the entire ARRB2 locus. Although none of these single nucleotide polymorphisms (SNPs) leads to a change in amino-acid sequence, we found that for all the SNPs analyzed, with exception of rs34230287, homozygosity for the variant allele confers a nonresponding phenotype (n=73; rs1045280C and rs2036657G: OR=3.1, 95% CI=1.5-6.3, P=0.004; rs3786047A: OR=2.5, 95% CI=1.2-5.1, P=0.02) also illustrated by a 12-fold shorter period of negative urine screening (P=0.01). The ARRB2 genotype may thus contribute to the interindividual variability in the response to MMT and help to predict response to treatment.

Pharmacogenetics-based population pharmacokinetic analysis of efavirenz in HIV-1-infected individuals.

Besides CYP2B6, other polymorphic enzymes contribute to efavirenz (EFV) interindividual variability. This study was aimed at quantifying the impact of multiple alleles on EFV disposition. Plasma samples from 169 human immunodeficiency virus (HIV) patients characterized for CYP2B6, CYP2A6, and CYP3A4/5 allelic diversity were used to build up a population pharmacokinetic model using NONMEM (non-linear mixed effects modeling), the aim being to seek a general approach combining genetic and demographic covariates. Average clearance (CL) was 11.3 l/h with a 65% interindividual variability that was explained largely by CYP2B6 genetic variation (31%). CYP2A6 and CYP3A4 had a prominent influence on CL, mostly when CYP2B6 was impaired. Pharmacogenetics fully accounted for ethnicity, leaving body weight as the only significant demographic factor influencing CL. Square roots of the numbers of functional alleles best described the influence of each gene, without interaction. Functional genetic variations in both principal and accessory metabolic pathways demonstrate a joint impact on EFV disposition. Therefore, dosage adjustment in accordance with the type of polymorphism (CYP2B6, CYP2A6, or CYP3A4) is required in order to maintain EFV within the therapeutic target levels.