QT time prolongation
Adverse drug events
|Disorder of taste|
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Explanations of the substances for patients
We have no additional warnings for the combination of clarithromycin, zolpidem and caffeine. Please also consult the relevant specialist information.
The reported changes in exposure correspond to the changes in the plasma concentration-time curve [ AUC ]. Zolpidem exposure increases to 190%, when combined with clarithromycin (130%) and caffeine (132%). This can lead to higher incidence rate of side effects. We do not expect any change in exposure for clarithromycin, when combined with zolpidem (100%) and caffeine (100%). We do not expect any change in exposure for caffeine, when combined with clarithromycin (100%) and zolpidem (100%).
The pharmacokinetic parameters of the average population are used as the starting point for calculating the individual changes in exposure due to the interactions.
Clarithromycin has a mean oral bioavailability [ F ] of 53%, which is why the maximum plasma levels [Cmax] tend to change with an interaction. The terminal half-life [ t12 ] is rather short at 4.6 hours and constant plasma levels [ Css ] are reached quickly. The protein binding [ Pb ] is rather weak at 70% and the volume of distribution [ Vd ] is very large at 176 liters. Since the substance has a low hepatic extraction rate of 0.13, displacement from protein binding [Pb] in the context of an interaction can lead to increased exposure. About 27.5% of an administered dose is excreted unchanged via the kidneys and this proportion is seldom changed by interactions. The metabolism mainly takes place via CYP3A4 and the active transport takes place in particular via PGP.
Zolpidem has a mean oral bioavailability [ F ] of 70%, which is why the maximum plasma levels [Cmax] tend to change with an interaction. The terminal half-life [ t12 ] is rather short at 2 hours and constant plasma levels [ Css ] are reached quickly. The protein binding [ Pb ] is moderately strong at 92% and the volume of distribution [ Vd ] is in the middle range at 43 liters, Since the substance has a low hepatic extraction rate of 0.23, displacement from protein binding [Pb] in the context of an interaction can lead to increased exposure. The metabolism takes place via CYP1A2, CYP2C9 and CYP3A4, among others.
Caffeine has a high oral bioavailability [ F ] of 92%, which is why the maximum plasma level [Cmax] tends to change little during an interaction. The terminal half-life [ t12 ] is 11.91 hours and constant plasma levels [ Css ] are reached after approximately 47.64 hours. The protein binding [ Pb ] is rather weak at 30.5% and the volume of distribution [ Vd ] is in the middle range at 36 liters. Since the substance has a low hepatic extraction rate of 0.07, displacement from protein binding [Pb] in the context of an interaction can lead to increased exposure. The metabolism mainly takes place via CYP1A2.
|Serotonergic Effects a||0||Ø||Ø||Ø|
Rating: According to our knowledge, neither clarithromycin, zolpidem nor caffeine increase serotonergic activity.
|Kiesel & Durán b||0||Ø||Ø||Ø|
Rating: According to our knowledge, neither clarithromycin, zolpidem nor caffeine increase anticholinergic activity.
QT time prolongation
Rating: Clarithromycin can potentially trigger torsades de pointes ventricular arrhythmias. We do not know of any QT-prolonging potential for zolpidem and caffeine.
General adverse effects
|Side effects||∑ frequency||cla||zol||caf|
|Disorder of taste||13.5 %||13.5||n.a.||n.a.|
|Abdominal pain||4.5 %||4.5||n.a.||n.a.|
|Blurred vision||3.0 %||n.a.||3.0||n.a.|
Insomnia (2%): caffeine, clarithromycin
Impaired cognition: zolpidem
Agitation (2%): caffeine, zolpidem
Feeling nervous: caffeine
Dream disorder: zolpidem
Fatigue (1.6%): zolpidem
Tachycardia: caffeine, zolpidem
Respiratory infection: zolpidem
Cholestatic hepatitis: zolpidem, clarithromycin
Hepatotoxicity: zolpidem, clarithromycin
Anaphylactic reaction: clarithromycin
Stevens johnson syndrome: clarithromycin
Toxic epidermal necrolysis: clarithromycin
Clostridium difficile diarrhea: clarithromycin
Based on your answers and scientific information, we assess the individual risk of undesirable side effects. These recommendations are intended to advise professionals and are not a substitute for consultation with a doctor. In the restricted test version (alpha), the risk of all substances has not yet been conclusively assessed.
Abstract: Six healthy volunteers received a single caffeine dose after pretreatment with norfloxacin, pipemidic acid, or placebo in a crossover, randomized, single-blind clinical trial. Quinolones altered the pharmacokinetics of caffeine, with a significant increase in the AUCs and a decrease in plasma clearance. The elimination half-life increased significantly with pipemidic acid. The apparent volume of distribution, mean renal clearance, and time to reach maximum caffeine concentrations remained unaltered. There was a decline in caffeine metabolite levels in the 24-hour urine samples for both quinolone treatments, suggesting that pipemidic acid and, to a lesser degree, norfloxacin inhibit metabolism of the N-demethylation pathways of caffeine. The practical consequence of this observation could be caffeine accumulation during repeated intake of coffee. In two additional healthy volunteers under a controlled multiple-dose regimen of caffeine ingestion, administration of pipemidic acid for 2 days caused a fourfold increase in the plasma concentrations of caffeine.
Abstract: In an acute experiment in healthy volunteers and in patients under long-term treatment for cardiac arrhythmias, mexiletine inhibits caffeine elimination by about 50%. The clearance of mexiletine is not influenced by caffeine. Some side effects of mexiletine may possibly at least partially be attributable to a retention of caffeine.
Abstract: Five subjects who participated in an earlier study (Lelo et al., 1986b) of the comparative pharmacokinetics of caffeine (CA) and its primary monodemethylated metabolites paraxanthine (PX), theobromine (TB) and theophylline (TP) were administered CA to steady-state. Using areas under the plasma concentration-time curves for each of the dimethylxanthines derived from CA in the steady-state study and individual plasma clearances of PX, TB and TP determined in the previous study, the fractional conversion of CA to PX, TB and TP and the individual partial clearances of CA have been defined. The mean (+/- s.d.) fractional conversion of CA to PX, TB and TP was 79.6 +/- 21.0%, 10.8 +/- 2.4% and 3.7 +/- 1.3%, respectively. When only demethylation pathways are considered PX, TB and TP accounted for 83.9 +/- 5.4%, 12.1 +/- 4.1% and 4.0 +/- 1.4%, respectively of the CA demethylations. The mean partial clearance of CA to PX was approximately 8-fold and 23-fold greater than those to TB and TP respectively. These data confirm earlier reports that PX is the major metabolite of CA in humans but suggest that PX formation is quantitatively more important than previously believed.
Abstract: The disposition of caffeine and its metabolites was studied in six healthy subjects by use of sensitive and specific assays. The primary degradation of caffeine in man was found to be N-demethylation and/or ring oxidation to theophylline, paraxanthine, theobromine and 1,3,7-trimethyluric acid. These compounds were further degraded to dimethylated uric acids, monomethylxanthines and monomethyluric acids. About 3 and 6% of the drug was converted to theophylline and theobromine, respectively. The elimination of paraxanthine after its formation did not follow linear kinetics. A large urine recovery of 1-methylxanthine after caffeine administration in comparison with the amount recovered after administration of theophylline suggests an inhibitory effect on the degradation of this metabolite by either caffeine itself or another metabolite of caffeine. Caffeine and its primary metabolites, dimethylxanthines, were extensively reabsorbed in the renal tubule. Their renal clearances were highly urine flow-dependent and their urinary excretion varied with urine output during the study. About 70% of the dose was recovered in the urine. Postulated degradation pathways of caffeine are discussed.
Abstract: In a controlled clinical trial, the elimination of caffeine was examined in 20 healthy women prior to and during one cycle of treatment with either of two oral contraceptive formulations, one containing 0.075 mg gestodene and 0.03 mg ethinylestradiol and one containing 0.125 mg levonorgestrel and 0.03 mg ethinylestradiol. In addition, caffeine clearance was determined 1 month after the last intake of the oral contraceptives. Compared with pretreatment values, the clearance of caffeine was reduced by about 54% and 55% after one treatment cycle with gestodene- and the levonorgestrel-containing oral contraceptive, respectively. Other pharmacokinetic parameters of caffeine, such as tmax and Cmax, were not affected. Clearance values returned to pretreatment values 1 month after the last administration of the oral contraceptives. There was no difference in the reduction of caffeine clearance between contraceptive formulations. A small, but significant difference in the AUC(0-24 h) values of ethinylestradiol was noted between both preparations. There was no correlation between the AUC(model) values of caffeine and the AUC(0-24 h) values of ethinylestradiol. In the present study, a somewhat more pronounced effect on the elimination of caffeine was observed than in previous investigations, where several contraceptive steroids were administered only for a period of 2 weeks.
Abstract: Zolpidem is an imidazopyridine which differs in structure from the benzodiazepines and zopiclone. It is a strong sedative with only minor anxiolytic, myorelaxant and anticonvulsant properties, and has been shown to be effective in inducing and maintaining sleep in adults. The available evidence suggests that zolpidem produces no rebound or withdrawal effects, and patients have experienced good daytime alertness. Zolpidem 10mg in non-elderly and a reduced dose of 5mg in elderly individuals are clinically effective. In humans, the major metabolic routes include oxidation and hydroxylation; none of the metabolites appears to be pharmacologically active. The pharmacological activity of zolpidem results from selective binding to the central benzodiazepine receptors of the omega 1 subtype. Zolpidem is approximately 92% bound to plasma proteins; absolute bio-availability of zolpidem is about 70%. After single 20mg oral doses, typical values of pharmacokinetic variables for zolpidem in humans are: a peak plasma concentration of 192 to 324 micrograms/L occurring 0.75 to 2.6 hours postdose; a terminal elimination half-line of 1.5 to 3.2 hours; and total clearance of 0.24 to 0.27 ml/min/kg. Zolpidem pharmacokinetics are unchanged during multiple-dose treatment. Zolpidem pharmacokinetics are not significantly influenced by gender. Clearance of zolpidem in children is 3 times higher than in young adults, and is lower in very elderly people. There are no significant differences in the pharmacokinetic parameters between various racial groups. Dosage reduction appears to be prudent in patients with renal disease, and caution should be exercised when prescribing zolpidem to elderly patients with hepatic impairment. Coadministration of haloperidol, cimetidine, ranitidine, chlorpromazine, warfarin, digoxin or flumazenil do not alter the pharmacokinetics of zolpidem; flumazenil predictably antagonises the hypnotic effects of zolpidem. Alertness tends to be reduced when cimetidine is combined with zolpidem. Volunteers treated with imipramine plus zolpidem developed anterograde amnesia.
Abstract: Erythromycin, clarithromycin, and azithromycin are clinically effective for the treatment of common respiratory and skin/skin-structure infections. Erythromycin and azithromycin are also effective for treatment of nongonococcal urethritis and cervicitis due to Chlamydia trachomatis. Compared with erythromycin, clarithromycin and azithromycin offer improved tolerability. Clarithromycin, however, is more similar to erythromycin in pharmacokinetic measures such as half-life, tissue distribution, and drug interactions. Misunderstandings about differences among the macrolides (erythromycin and clarithromycin) and the azalide (azithromycin) in terms of pharmacokinetics and pharmacodynamics, spectrum of activity, safety, and cost are common. The uptake and release of these compounds by white blood cells and fibroblasts account for differences in tissue half-life, volume of distribution, intracellular:extracellular ratio, and in vivo potency. Although microbiologic studies reveal that gram-positive pathogens are equally susceptible to these agents, significantly more isolates of Haemophilus influenzae are susceptible to azithromycin than to erythromycin or clarithromycin. Concentrations achieved at the infection site and duration above the minimum inhibitory concentration are as important as in vitro activity in determining in vivo activity against bacterial pathogens. Analysis of safety data indicates differences among these agents in drug interactions and use in pregnancy. Analysis of safety data reveals pharmacokinetic drug interactions for erythromycin and clarithromycin with theophylline, terfenadine, and carbamazepine that are not found with azithromycin. Both erythromycin and azithromycin are pregnancy category B drugs; clarithromycin is a category C drug. The numerous differences in pharmacokinetics, microbiology, safety, and costs among erythromycin, clarithromycin, and azithromycin can be used in the judicious selection of treatment for indicated infections.
Abstract: To investigate whether grapefruit juice inhibits the metabolism of clarithromycin, 12 healthy subjects were given water or grapefruit juice before and after a clarithromycin dose of 500 mg in a randomized crossover study. Administration of grapefruit juice increased the time to peak concentration of both clarithromycin (82 +/- 35 versus 148 +/- 83 min; P = 0.02) and 14-hydroxyclarithromycin (84 +/- 38 min versus 173 +/- 85; P = 0.01) but did not affect other pharmacokinetic parameters.
Abstract: No Abstract available
Abstract: BACKGROUND: Azole antifungal agents may impair hepatic clearance of drugs metabolized by cytochrome P450-3A isoforms. The imidazopyridine hypnotic agent zolpidem is metabolized in humans in part by P450-3A, as well as by a number of other cytochromes. Potential interactions of zolpidem with 3 commonly prescribed azole derivatives were evaluated in a controlled clinical study. METHODS: In a randomized, double-blind, 5-way, crossover, clinical pharmacokinetic-pharmacodynamic study, 12 volunteers received (A) zolpidem placebo plus azole placebo, (B) 5 mg zolpidem plus azole placebo (C) zolpidem plus ketoconazole, (D) zolpidem plus itraconazole, and (E) zolpidem plus fluconazole. RESULTS: Mean apparent oral clearance of zolpidem when given with placebo was 422 mL/min, and elimination half-life was 1.9 hours. Clearance was significantly reduced to 250 mL/min when zolpidem was given with ketoconazole, and half-life was prolonged to 2.4 hours. Coadministration of zolpidem with itraconazole or fluconazole also reduced clearance (320 and 338 mL/min), but differences compared to the zolpidem plus placebo treatment did not reach significance. Zolpidem-induced benzodiazepine agonist effects (increased electrocardiographic beta activity, digit-symbol substitution test impairment, and delayed recall) during the first 4 hours after dosage were enhanced by ketoconazole but not by itraconazole or fluconazole. CONCLUSION: Coadministration of zolpidem with ketoconazole impairs zolpidem clearance and enhances its benzodiazepine-like agonist pharmacodynamic effects. Itraconazole and fluconazole had a small influence on zolpidem kinetics and dynamics. The findings are consistent with in vitro studies of differentially impaired zolpidem metabolism by azole derivatives.
Abstract: BACKGROUND AND OBJECTIVES: Pefloxacin is reported to cause clinically relevant inhibition of theophylline metabolism in vivo, but in vitro pefloxacin was only a weak inhibitor of the cytochrome P450 CYP1A2, mediating main theophylline biotransformation. We therefore further characterized the interaction between pefloxacin and CYP1A2. METHODS: A randomized 3-period change-over study was conducted in 12 healthy young volunteers on the steady-state interactions between pefloxacin or enoxacin (400 mg twice a day) with caffeine (183 mg once daily), a validated marker of CYP1A2. Caffeine pharmacokinetics were estimated after its fifth dose. Studies in human liver microsomes were carried out to measure the effect of pefloxacin and norfloxacin on caffeine 3-demethylation, an in vitro CYP1A2 probe, and to identify the enzyme(s) that mediate pefloxacin N-4'-demethylation with selective inhibitors. RESULTS: For the in vivo study, ANOVA-based point estimates (90% confidence intervals [CI]) for the ratios of caffeine pharmacokinetics with and without pefloxacin coadministration were 1.11 for maximal steadystate plasma concentrations (Cmax,ss; 90% CI, 0.99 to 1.26), 0.53 for total clearance (CLt,ss; 90% CI, 0.49 to 0.58), and 1.04 for the beta-phase distribution volume (Vdbeta; 90% CI, 0.96 to 1.13). The values for enoxacin were 1.99 for Cmax,ss (90% CI, 1.77 to 2.23), 0.17 for CLt,ss (90% CI, 0.16 to 0.19), and 1.01 for Vdbeta (90% CI, 0.90 to 1.13). Thus pefloxacin caused a 2-fold decrease in caffeine clearance, and enoxacin caused a 6-fold decrease in caffeine clearance. In vitro, norfloxacin and pefloxacin competitively inhibited CYP1A2, with inhibition constant (Ki) values of 0.1 and 1 mmol/L, respectively, and CYP1A2 was the only enzyme with a relevant contribution (approximately 50%) to pefloxacin N-4'-demethylation. CONCLUSIONS: Enoxacin and to a lesser extent pefloxacin may cause clinically relevant interactions with further CYP1A2 substrates. The data suggest that the pefloxacin interaction is partly mediated by its major metabolite norfloxacin.
Abstract: Twenty-nine drugs of disparate structures and physicochemical properties were used in an examination of the capability of human liver microsomal lability data ("in vitro T(1/2)" approach) to be useful in the prediction of human clearance. Additionally, the potential importance of nonspecific binding to microsomes in the in vitro incubation milieu for the accurate prediction of human clearance was investigated. The compounds examined demonstrated a wide range of microsomal metabolic labilities with scaled intrinsic clearance values ranging from less than 0.5 ml/min/kg to 189 ml/min/kg. Microsomal binding was determined at microsomal protein concentrations used in the lability incubations. For the 29 compounds studied, unbound fractions in microsomes ranged from 0.11 to 1.0. Generally, basic compounds demonstrated the greatest extent of binding and neutral and acidic compounds the least extent of binding. In the projection of human clearance values, basic and neutral compounds were well predicted when all binding considerations (blood and microsome) were disregarded, however, including both binding considerations also yielded reasonable predictions. Including only blood binding yielded very poor projections of human clearance for these two types of compounds. However, for acidic compounds, disregarding all binding considerations yielded poor predictions of human clearance. It was generally most difficult to accurately predict clearance for this class of compounds; however the accuracy was best when all binding considerations were included. Overall, inclusion of both blood and microsome binding values gave the best agreement between in vivo clearance values and clearance values projected from in vitro intrinsic clearance data.
Abstract: Clarithromycin is a macrolide antibacterial that differs in chemical structure from erythromycin by the methylation of the hydroxyl group at position 6 on the lactone ring. The pharmacokinetic advantages that clarithromycin has over erythromycin include increased oral bioavailability (52 to 55%), increased plasma concentrations (mean maximum concentrations ranged from 1.01 to 1.52 mg/L and 2.41 to 2.85 mg/L after multiple 250 and 500 mg doses, respectively), and a longer elimination half-life (3.3 to 4.9 hours) to allow twice daily administration. In addition, clarithromycin has extensive diffusion into saliva, sputum, lung tissue, epithelial lining fluid, alveolar macrophages, neutrophils, tonsils, nasal mucosa and middle ear fluid. Clarithromycin is primarily metabolised by cytochrome P450 (CYP) 3A isozymes and has an active metabolite, 14-hydroxyclarithromycin. The reported mean values of total body clearance and renal clearance in adults have ranged from 29.2 to 58.1 L/h and 6.7 to 12.8 L/h, respectively. In patients with severe renal impairment, increased plasma concentrations and a prolonged elimination half-life for clarithromycin and its metabolite have been reported. A dosage adjustment for clarithromycin should be considered in patients with a creatinine clearance < 1.8 L/h. The recommended goal for dosage regimens of clarithromycin is to ensure that the time that unbound drug concentrations in the blood remains above the minimum inhibitory concentration is at least 40 to 60% of the dosage interval. However, the concentrations and in vitro activity of 14-hydroxyclarithromycin must be considered for pathogens such as Haemophilus influenzae. In addition, clarithromycin achieves significantly higher drug concentrations in the epithelial lining fluid and alveolar macrophages, the potential sites of extracellular and intracellular respiratory tract pathogens, respectively. Further studies are needed to determine the importance of these concentrations of clarithromycin at the site of infection. Clarithromycin can increase the steady-state concentrations of drugs that are primarily depend upon CYP3A metabolism (e.g., astemidole, cisapride, pimozide, midazolam and triazolam). This can be clinically important for drugs that have a narrow therapeutic index, such as carbamazepine, cyclosporin, digoxin, theophylline and warfarin. Potent inhibitors of CYP3A (e.g., omeprazole and ritonavir) may also alter the metabolism of clarithromycin and its metabolites. Rifampicin (rifampin) and rifabutin are potent enzyme inducers and several small studies have suggested that these agents may significantly decrease serum clarithromycin concentrations. Overall, the pharmacokinetic and pharmacodynamic studies suggest that fewer serious drug interactions occur with clarithromycin compared with older macrolides such as erythromycin and troleandomycin.
Abstract: BACKGROUND: The viral protease inhibitor ritonavir has the capacity to inhibit and induce the activity of cytochrome P450-3A (CYP3A) isoforms, leading to drug interactions that may influence the efficacy and toxicity of other antiretroviral therapies, as well as pharmacologic treatments of coincident or complicating diseases. METHODS: The inhibitory effect of ritonavir on the biotransformation of the hypnotic agents triazolam and zolpidem was tested in vitro using human liver microsomes. In a double-blind clinical study, volunteer study subjects received 0.125 mg triazolam or 5.0 mg zolpidem concurrent with low-dose ritonavir (four doses of 200 mg), or with placebo. RESULTS: Ritonavir was a potent in vitro inhibitor of triazolam hydroxylation but was less potent as an inhibitor of zolpidem hydroxylation. In the clinical study, ritonavir reduced triazolam clearance to < 4% of control values (p < .005), prolonged elimination half-life (41 versus 3 hours; p < .005), and magnified benzodiazepine agonist effects such as sedation and performance impairment. In contrast, ritonavir reduced zolpidem clearance to 78% of control values (p < .08), and slightly prolonged elimination half-life (2.4 versus 2.0 hours; NS). Benzodiazepine agonist effects of zolpidem were not altered by ritonavir. CONCLUSION: Short-term low-dose administration of ritonavir produces a large and significant impairment of triazolam clearance and enhancement of clinical effects. In contrast, ritonavir produced small and clinically unimportant reductions in zolpidem clearance. The findings are consistent with the complete dependence of triazolam clearance on CYP3A activity, compared with the partial dependence of zolpidem clearance on CYP3A.
Abstract: Two cases of QT prolongation and torsades de pointes (TdP) are presented. The patients had been taking clarithromycin (400 mg/day) for respiratory disease. Although erythromycin is reportedly associated with TdP, this is the first report of clarithromycin associated with TdP in the absence of other drugs already known to produce QT prolongation.
Abstract: Caffeine from dietary sources (mainly coffee, tea and soft drinks) is the most frequently and widely consumed CNS stimulant in the world today. Because of its enormous popularity, the consumption of caffeine is generally thought to be safe and long term caffeine intake may be disregarded as a medical problem. However, it is clear that this compound has many of the features usually associated with a drug of abuse. Furthermore, physicians should be aware of the possible contribution of dietary caffeine to the presenting signs and symptoms of patients. The toxic effects of caffeine are extensions of their pharmacological effects. The most serious caffeine-related CNS effects include seizures and delirium. Other symptoms affecting the cardiovascular system range from moderate increases in heart rate to more severe cardiac arrhythmia. Although tolerance develops to many of the pharmacological effects of caffeine, tolerance may be overwhelmed by the nonlinear accumulation of caffeine when its metabolism becomes saturated. This might occur with high levels of consumption or as the result of a pharmacokinetic interaction between caffeine and over-the-counter or prescription medications. The polycyclic aromatic hydrocarbon-inducible cytochrome P450 (CYP) 1A2 participates in the metabolism of caffeine as well as of a number of clinically important drugs. A number of drugs, including certain selective serotonin reuptake inhibitors (particularly fluvoxamine), antiarrhythmics (mexiletine), antipsychotics (clozapine), psoralens, idrocilamide and phenylpropanolamine, bronchodilators (furafylline and theophylline) and quinolones (enoxacin), have been reported to be potent inhibitors of this isoenzyme. This has important clinical implications, since drugs that are metabolised by, or bind to, the same CYP enzyme have a high potential for pharmacokinetic interactions due to inhibition of drug metabolism. Thus, pharmacokinetic interactions at the CYP1A2 enzyme level may cause toxic effects during concomitant administration of caffeine and certain drugs used for cardiovascular, CNS (an excessive dietary intake of caffeine has also been observed in psychiatric patients), gastrointestinal, infectious, respiratory and skin disorders. Unless a lack of interaction has already been demonstrated for the potentially interacting drug, dietary caffeine intake should be considered when planning, or assessing response to, drug therapy. Some of the reported interactions of caffeine, irrespective of clinical relevance, might inadvertently cause athletes to exceed the urinary caffeine concentration limit set by sports authorities at 12 mg/L. Finally, caffeine is a useful and reliable probe drug for the assessment of CYP1A2 activity, which is of considerable interest for metabolic studies in human populations.
Abstract: PURPOSE: Oltipraz is currently undergoing clinical evaluation as a cancer chemopreventive agent, especially with respect to aflatoxin-associated hepatocarcinogenesis. The agent's ability to induce phase II xenobiotic enzymes that detoxify the ultimate carcinogen formed in vivo is thought to be an important mechanism by which disease risk may be attenuated. However, an additional mechanism could be a reduction in the activation of environmental procarcinogens by certain cytochrome P450 (CYP) isoforms. This hypothesis was tested with respect to CYP1A2, by using the clearance of caffeine by N-demethylation as a phenotypic trait measurement of the isoform's catalytic activity. METHODS: Subjects received a single oral dose of caffeine (200 mg) on five separate occasions: on the day prior to oltipraz administration (day 0), 2 h after the first (day 1) of eight daily oral doses of oltipraz (125 mg) and 2 h after the last dose (day 8). In addition, CYP1A2 activity was also measured 2 and 14 days (days 10 and 22, respectively) after discontinuation of oltipraz administration. Plasma concentrations of caffeine and its N-demethylated metabolite, paraxanthine, over 24 h after drug administration, were determined by HPLC. RESULTS: A single 125-mg dose of oltipraz markedly reduced CYP1A2 activity by 75 +/- 13% in nine healthy subjects, resulting in a higher caffeine plasma level and prolongation of the in vivo probe's elimination half-life. Daily administration of 125 mg oltipraz for 8 days resulted in further inhibition so that only 19 +/- 13% of the original baseline level of activity was present. However, 2 days after discontinuation of oltipraz treatment, CYP1A2 activity had returned to 66 +/- 33% of its original level and complete recovery was achieved within 14 days of the chemopreventive agent being stopped. CONCLUSIONS: These results demonstrate that oltipraz is a potent, in vivo inhibitor of CYP1A2 in humans and, because this isoform is importantly involved in procarcinogen activation, they also indicate that such inhibition probably contributes to oltipraz's cancer-chemopreventive effect. In addition, the findings also suggest the likelihood of significant drug interactions between oltipraz and drugs whose metabolism is mediated by CYP1A2.
Abstract: Children's risks can differ from those in adults for numerous reasons, one being differences in the pharmacokinetic handling of chemicals. Immature metabolism and a variety of other factors in neonates can affect chemical disposition and clearance. These factors can be incorporated into physiologically based pharmacokinetic (PBPK) models that simulate the fate of environmental toxicants in both children and adults. PBPK models are most informative when supported by empirical data, but typically pediatric pharmacokinetic data for toxicants are not available. In contrast, pharmacokinetic data in children are readily available for therapeutic drugs. The current analysis utilizes data for caffeine and theophylline, closely related xanthines that are both cytochrome P-450 (CYP) 1A2 substrates, in developing PBPK models for neonates and adults. Model development involved scale-up of in vitro metabolic parameters to whole liver and adjusting metabolic function for the ontological pattern of CYP1A2 and other CYPs. Model runs were able to simulate the large differences in half-life and clearance between neonates and adults. Further, the models were able to reproduce the faster metabolic clearance of theophylline relative to caffeine in neonates. This differential between xanthines was found to be due primarily to an extra metabolic pathway available to theophylline, back-methylation to caffeine, that is not available to caffeine itself. This pathway is not observed in adults exemplifying the importance of secondary or novel routes of metabolism in the immature liver. Greater CYP2E1 metabolism of theophylline relative to caffeine in neonates also occurs. Neonatal PBPK models developed for these drugs may be adapted to other CYP1A2 substrates (e.g., arylamine toxicants). A stepwise approach for modeling environmental toxicants in children is proposed.
Abstract: OBJECTIVE: To investigate the likelihood of artemisinin and thiabendazole causing pharmacokinetic interactions involving cytochrome P450 (CYP1A2) in humans given their potent inhibitory effects on the isoform in vitro. METHODS: Ten healthy volunteers received caffeine (136.5 mg), and after a washout period of 48 h, the volunteers were given a caffeine tablet (136.5 mg) together with thiabendazole (500 mg). After an additional 14 days, the volunteers received caffeine together with artemisinin (500 mg). After each treatment, plasma was obtained up to 24 h post-dose. The plasma concentrations of the drugs were measured by HPLC with UV and MS detection. RESULTS: Using the ratio of paraxanthine to caffeine after 4 h as an indicator of CYP1A2 activity, thiabendazole and artemisinin inhibited 92 and 66%, respectively, of the enzyme activity in vivo. In addition, the pharmacokinetics of caffeine were altered in the presence of the drugs; increases in AUC(0-24) of 1.6-fold (P < 0.01) and 1.3-fold of caffeine in the presence of thiabendazole and artemisinin respectively were measured. The use of in vitro data to predict the effects of thiabendazole on the formation of paraxanthine yielded good results and underestimated the effects of artemisinin when total plasma concentrations were used. Corrections for protein binding resulted in underestimation of inhibitory effects on CYP1A2. CONCLUSIONS: Co-administration of thiabendazole or artemisinin with CYP1A2 substrates could result in clinically significant effects. Our results highlight the validity of in vitro data in predicting in vivo CYP inhibition. The formation of paraxanthine seems to be a better indicator of in vivo CYP1A2 activity than caffeine levels.
Abstract: AIMS: To assess the effect of voriconazole on the pharmacokinetics and pharmacodynamics of zolpidem. METHODS: In a randomized cross-over study with two phases, 10 healthy subjects ingested 10 mg of zolpidem with or without oral voriconazole pretreatment. The concentrations of zolpidem were measured in plasma up to 24 h and pharmacodynamic variables were monitored for 12 h. RESULTS: Voriconazole increased the peak plasma concentration of zolpidem by 1.23-fold [P < 0.05; 90% confidence interval (CI) 1.05, 1.45] and the area under the plasma zolpidem concentration-time curve by 1.48-fold (P < 0.001; 90% CI 1.29, 1.74). The time to peak plasma zolpidem concentration was unchanged by voriconazole but the half-life was prolonged from 3.2 to 4.1 h (P < 0.01; 95% CI on the difference 0.27, 1.45). The pharmacodynamics of zolpidem were unaffected by voriconazole. CONCLUSION: Voriconazole caused a moderate increase in exposure to zolpidem in healthy young subjects but no clear pharmacodynamic changes were observed between the groups.
Abstract: The objective of this study was to evaluate the pharmacokinetic interaction between zolpidem and carbamazepine in healthy volunteers. The study consisted of 2 periods: period 1 (reference), when each volunteer received a single dose of 5 mg zolpidem, and period 2 (test), when each volunteer received a single dose of 5 mg zolpidem and 400 mg carbamazepine. Between the 2 periods, the participants were treated for 15 days with a single daily dose of 400 mg carbamazepine. Pharmacokinetic parameters of zolpidem administered in each treatment period were calculated using noncompartmental analysis. In the 2 periods of treatments, the mean peak plasma concentrations (C(max)) were 59 ng/mL (zolpidem alone) and 35 ng/mL (zolpidem after pretreatment with carbamazepine). The t(max), times taken to reach C(max), were 0.9 hours and 1.0 hour, respectively, and the total areas under the curve (AUC(0-∞)) were 234.9 ng·h/mL and 101.5 ng·h/mL, respectively. The half-life of zolpidem was 2.3 and 1.6 hours, respectively. Carbamazepine interacts with zolpidem in healthy volunteers and lowers its bioavailability by about 57%. The experimental data demonstrate the pharmacokinetic interaction between zolpidem and carbamazepine and suggest that the observed interaction may be clinically significant, but its relevance has to be confirmed.
Abstract: Our objective was to evaluate a possible pharmacokinetic interaction between zolpidem and ciprofloxacin in healthy volunteers. The study consisted of two periods: Period 1 (reference), when each volunteer received a single dose of 5 mg zolpidem and Period 2 (test), when each volunteer received a single dose of 5 mg zolpidem and 500 mg ciprofloxacin. Between the two periods, the subjects were treated for 5 days with a single daily dose of 500 mg ciprofloxacin. Plasma concentrations of zolpidem were determined during a 12-hour period following drug administration. Pharmacokinetic parameters of zolpidem administered in each treatment period were calculated using non-compartmental analysis and the data from two periods were compared to determine statistically significant differences. In the two periods of treatments, the mean peak plasma concentrations (Cmax) were 75.73±28.34 ng/ml (zolpidem alone) and 80.58±22.40 ng/ml (zolpidem after pre-treatment with ciprofloxacin). The tmax, times taken to reach Cmax, were 0.91±0.42 and 1.44±0.61 h, respectively, and the total areas under the curve (AUC0-∞) were 300.2±115.5 and 438.1±142.6 ng h/ml, respectively. The half-life of zolpidem was 2.39±0.53 h when administered alone and 3.34±0.87 h after pre-treatment with ciprofloxacin. These differences were statistically significant for Cmax, tmax, AUC0-∞, half-life and mean residence time. Ciprofloxacin interacts with zolpidem in healthy volunteers, raising its bioavailability by about 46%. This magnitude of effect is likely to be clinically significant.
Abstract: 1. Our objective was to evaluate a possible pharmacokinetic interaction between zolpidem and fluvoxamine in healthy volunteers. 2. The study consisted of two periods: Period 1 (reference), when each volunteer received a single dose of 5 mg zolpidem; and Period 2 (test), when each volunteer received a single dose of 5 mg zolpidem and 100 mg fluvoxamine. Between the two periods, the subjects were treated for 6 days with a single daily dose of 100 mg fluvoxamine. 3. Pharmacokinetic parameters of zolpidem given in each treatment period were calculated using non-compartmental analysis and the data from two periods were compared to determine statistically significant differences. 4. In the two periods of treatments, the mean peak plasma concentrations (C(max)) were 56.4 ± 25.6 ng/mL (zolpidem alone) and 67.3 ± 25.8 ng/mL (zolpidem after pretreatment with fluvoxamine). The t(max), times taken to reach C(max), were 0.83 ± 0.44 and 1.26 ± 0.74 h, respectively, and the total areas under the curve (AUC(0-∞)) were 200.9 ± 116.8 and 512.0 ± 354.6 ng h/mL, respectively. The half-life of zolpidem was 2.24 ± 0.81 h when given alone and 4.99 ± 2.92 h after pretreatment with fluvoxamine. 5. Fluvoxamine interacts with zolpidem in healthy volunteers and increases its exposure by approximately 150%. The experimental data showed the pharmacokinetic interaction between zolpidem and fluvoxamine, and suggest that the observed interaction might be clinically significant, but its relevance has to be confirmed.
Abstract: BACKGROUND: Anticholinergic drugs are often involved in explicit criteria for inappropriate prescribing in older adults. Several scales were developed for screening of anticholinergic drugs and estimation of the anticholinergic burden. However, variation exists in scale development, in the selection of anticholinergic drugs, and the evaluation of their anticholinergic load. This study aims to systematically review existing anticholinergic risk scales, and to develop a uniform list of anticholinergic drugs differentiating for anticholinergic potency. METHODS: We performed a systematic search in MEDLINE. Studies were included if provided (1) a finite list of anticholinergic drugs; (2) a grading score of anticholinergic potency and, (3) a validation in a clinical or experimental setting. We listed anticholinergic drugs for which there was agreement in the different scales. In case of discrepancies between scores we used a reputed reference source (Martindale: The Complete Drug Reference®) to take a final decision about the anticholinergic activity of the drug. RESULTS: We included seven risk scales, and evaluated 225 different drugs. Hundred drugs were listed as having clinically relevant anticholinergic properties (47 high potency and 53 low potency), to be included in screening software for anticholinergic burden. CONCLUSION: Considerable variation exists among anticholinergic risk scales, in terms of selection of specific drugs, as well as of grading of anticholinergic potency. Our selection of 100 drugs with clinically relevant anticholinergic properties needs to be supplemented with validated information on dosing and route of administration for a full estimation of the anticholinergic burden in poly-medicated older adults.
Abstract: The involvement of intestinal permeability in the oral absorption of clarithromycin (CAM), a macrolide antibiotic, and telithromycin (TEL), a ketolide antibiotic, in the presence of efflux transporters was examined. In order independently to examine the intestinal and hepatic availability, CAM and TEL (10 mg/kg) were administered orally, intraportally and intravenously to rats. The intestinal and hepatic availability was calculated from the area under the plasma concentration-time curve (AUC) after administration of CAM and TEL via different routes. The intestinal availabilities of CAM and TEL were lower than their hepatic availabilities. The intestinal availability after oral administration of CAM and TEL increased by 1.3- and 1.6-fold, respectively, after concomitant oral administration of verapamil as a P-glycoprotein (P-gp) inhibitor. Further, an in vitro transport experiment was performed using Caco-2 cell monolayers as a model of intestinal epithelial cells. The apical-to-basolateral transport of CAM and TEL through the Caco-2 cell monolayers was lower than their basolateral-to-apical transport. Verapamil and bromosulfophthalein as a multidrug resistance-associated proteins (MRPs) inhibitor significantly increased the apical-to-basolateral transport of CAM and TEL. Thus, the results suggest that oral absorption of CAM and TEL is dependent on intestinal permeability that may be limited by P-gp and MRPs on the intestinal epithelial cells.
Abstract: Transporters in proximal renal tubules contribute to the disposition of numerous drugs. Furthermore, the molecular mechanisms of tubular secretion have been progressively elucidated during the past decades. Organic anions tend to be secreted by the transport proteins OAT1, OAT3 and OATP4C1 on the basolateral side of tubular cells, and multidrug resistance protein (MRP) 2, MRP4, OATP1A2 and breast cancer resistance protein (BCRP) on the apical side. Organic cations are secreted by organic cation transporter (OCT) 2 on the basolateral side, and multidrug and toxic compound extrusion (MATE) proteins MATE1, MATE2/2-K, P-glycoprotein, organic cation and carnitine transporter (OCTN) 1 and OCTN2 on the apical side. Significant drug-drug interactions (DDIs) may affect any of these transporters, altering the clearance and, consequently, the efficacy and/or toxicity of substrate drugs. Interactions at the level of basolateral transporters typically decrease the clearance of the victim drug, causing higher systemic exposure. Interactions at the apical level can also lower drug clearance, but may be associated with higher renal toxicity, due to intracellular accumulation. Whereas the importance of glomerular filtration in drug disposition is largely appreciated among clinicians, DDIs involving renal transporters are less well recognized. This review summarizes current knowledge on the roles, quantitative importance and clinical relevance of these transporters in drug therapy. It proposes an approach based on substrate-inhibitor associations for predicting potential tubular-based DDIs and preventing their adverse consequences. We provide a comprehensive list of known drug interactions with renally-expressed transporters. While many of these interactions have limited clinical consequences, some involving high-risk drugs (e.g. methotrexate) definitely deserve the attention of prescribers.
Abstract: Zolpidem is extensively metabolized by CYP3A4, CYP2C9 and CYP1A2. Previous studies demonstrated that pharmacokinetics of zolpidem was affected by CYP inhibitors, but not by short-term treatment of clarithromycin. The objective of this study was to investigate the effects of steady-state clarithromycin on the pharmacokinetics of zolpidem in healthy subjects. In the control phase, 33 subjects received a single dose of zolpidem (5 mg). One week later, in the clarithromycin phase, the subjects received clarithromycin (500 mg) twice daily for 5 days to reach steady state concentrations, followed by zolpidem (5 mg) and clarithromycin (500 mg). In each phase, plasma concentrations of zolpidem were evaluated up to 12 h after drug administration by using liquid chromatography-tandem mass spectrometry method. In the clarithromycin phase, mean total area under the curve of zolpidem (AUC) was 1.62-fold higher and the time to reach peak plasma concentration of zolpidem (t) was prolonged by 1.95-fold compared to the control phase. In addition, elimination half-life (t) of zolpidem was 1.40-fold longer during co-administration with clarithromycin and its apparent oral clearance (CL/F) was 36.2% lower with clarithromycin administration. The experimental data demonstrate the significant pharmacokinetic interaction between zolpidem and clarithromycin at steady-state.