The amplitude and origin of sea-level variability during the Pliocene epoch.

Earth is heading towards a climate that last existed more than three million years ago (Ma) during the 'mid-Pliocene warm period'1, when atmospheric carbon dioxide concentrations were about 400 parts per million, global sea level oscillated in response to orbital forcing2,3 and peak global-mean sea level (GMSL) may have reached about 20 metres above the present-day value4,5. For sea-level rise of this magnitude, extensive retreat or collapse of the Greenland, West Antarctic and marine-based sectors of the East Antarctic ice sheets is required. Yet the relative amplitude of sea-level variations within glacial-interglacial cycles remains poorly constrained. To address this, we calibrate a theoretical relationship between modern sediment transport by waves and water depth, and then apply the technique to grain size in a continuous 800-metre-thick Pliocene sequence of shallow-marine sediments from Whanganui Basin, New Zealand. Water-depth variations obtained in this way, after corrections for tectonic subsidence, yield cyclic relative sea-level (RSL) variations. Here we show that sea level varied on average by 13 ± 5 metres over glacial-interglacial cycles during the middle-to-late Pliocene (about 3.3-2.5 Ma). The resulting record is independent of the global ice volume proxy3 (as derived from the deep-ocean oxygen isotope record) and sea-level cycles are in phase with 20-thousand-year (kyr) periodic changes in insolation over Antarctica, paced by eccentricity-modulated orbital precession6 between 3.3 and 2.7 Ma. Thereafter, sea-level fluctuations are paced by the 41-kyr period of cycles in Earth's axial tilt as ice sheets stabilize on Antarctica and intensify in the Northern Hemisphere3,6. Strictly, we provide the amplitude of RSL change, rather than absolute GMSL change. However, simulations of RSL change based on glacio-isostatic adjustment show that our record approximates eustatic sea level, defined here as GMSL unregistered to the centre of the Earth. Nonetheless, under conservative assumptions, our estimates limit maximum Pliocene sea-level rise to less than 25 metres and provide new constraints on polar ice-volume variability under the climate conditions predicted for this century.

The multi-millennial Antarctic commitment to future sea-level rise.

Atmospheric warming is projected to increase global mean surface temperatures by 0.3 to 4.8 degrees Celsius above pre-industrial values by the end of this century. If anthropogenic emissions continue unchecked, the warming increase may reach 8-10 degrees Celsius by 2300 (ref. 2). The contribution that large ice sheets will make to sea-level rise under such warming scenarios is difficult to quantify because the equilibrium-response timescale of ice sheets is longer than those of the atmosphere or ocean. Here we use a coupled ice-sheet/ice-shelf model to show that if atmospheric warming exceeds 1.5 to 2 degrees Celsius above present, collapse of the major Antarctic ice shelves triggers a centennial- to millennial-scale response of the Antarctic ice sheet in which enhanced viscous flow produces a long-term commitment (an unstoppable contribution) to sea-level rise. Our simulations represent the response of the present-day Antarctic ice-sheet system to the oceanic and climatic changes of four representative concentration pathways (RCPs) from the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. We find that substantial Antarctic ice loss can be prevented only by limiting greenhouse gas emissions to RCP 2.6 levels. Higher-emissions scenarios lead to ice loss from Antarctic that will raise sea level by 0.6-3 metres by the year 2300. Our results imply that greenhouse gas emissions in the next few decades will strongly influence the long-term contribution of the Antarctic ice sheet to global sea level.

Pharmacological and clinical aspects of antiepileptic drug use in the elderly.

In this article, epidemiological and clinical aspects related to the use of antiepileptic drugs (AEDs) in the elderly are highlighted. Studies have shown that people with epilepsy receiving AED treatment show important deficits in physical and social functioning compared with age-matched people without epilepsy. To what extent these deficits can be ascribed to epilepsy per se or to the consequences of AED treatment remains to be clarified. The importance of characterizing the effects of AEDs in an elderly population is highlighted by epidemiological surveys indicating that the prevalence of AED use is increased in elderly people, particularly in those living in nursing homes. Both the pharmacokinetics and the pharmacodynamics of AEDs may be altered in old age, which may contribute to the observation that AEDs are among the drug classes most commonly implicated as causing adverse drug reactions in an aged population. Age alone is one of several contributors to alterations in AED response in the elderly; other factors include physical frailty, co-morbidities, dietary influences, and drug interactions. Individualization of dosage, avoidance of unnecessary polypharmacy, and careful observation of clinical response are essential for an effective and safe utilization of AEDs in an elderly population.

In vivo and in vitro correlation of microsomal epoxide hydrolase inhibition by progabide.

Progabide was investigated as a potential inhibitor of microsomal epoxide hydrolase as a result of reports of elevated levels of carbamazepine-10,11-epoxide after coadministration of progabide and carbamazepine to patients with epilepsy. The formation clearance of carbamazepine transdihydrodiol after administration of carbamazepine-10,11-epoxide to healthy volunteers was decreased 26% by progabide. Therapeutic concentrations of progabide inhibited S (+)-styrene oxide hydrolysis in human liver microsomes (inhibition constant [Ki] = 1.9 mumol/L) and purified human liver microsomal epoxide hydrolase (Ki = 4.4 mumol/L). A mixed competitive and noncompetitive mechanism of inhibition best described the effect of progabide on microsomal epoxide hydrolase; the most potent inhibition was competitive. A similar model described the inhibition by the acid metabolite of progabide, although inhibitory concentrations are higher than concentrations observed after progabide therapy. An excellent agreement between the in vivo and in vitro inhibitory potencies of progabide suggests that potential inhibitors of this important detoxification enzyme can be predicted in vitro.

Phenobarbital--valporic acid interaction.

The effect of subchronic valproate treatment on the single-dose kinetics of phenobarbital was investigated in 6 normal subjects. The study consisted of 2 drug treatments assigned through randomized crossover design. In one treatment subjects received a 60-mg dose of phenobarbital orally. In the other, subjects received 250 mg valproic acid orally twice daily for 14 consecutive days and a 60-mg dose of phenobarbital orally on day 4. Nineteen plasma samples (over 12 days) and two 48-hr urine samples were collected during each treatment. Plasma and urine phenobarbital levels were determined by gas chromatograph interfaced with mass spectrometer in a chemical ionization mode (GLC/CI/MS) and plasma valproic acid levels by GLC. Valproic acid induced several changes in the elimination parameters of phenobarbital: (1) phenobarbital half-life rose from 96 to 142 hr (p = 0.006); (2) plasma clearance fell from 4.2 to 3.0 ml/hr/kg (p = 0.009); (3) renal clearance was unchanged, and metabolic clearance fell from 3.3 to 2.0 mg/hg/kg (p = 0.006); and (4) the fraction of dose excreted unchanged rose from 0.22 to 0.33 (p = 0.015), and the fraction of dose metablized fell from 0.78 to 0.67 (p = 0.015). The findings indicate that valproic acid inhibits phenobarbital metabolism.

Effects of carbamazepine on valproic acid kinetics in normal subjects.

Carbamazepine and valproic acid are used together in the treatment of epilepsy. It is therefore, relevant to investigate the possibility of a carbamazepine effect on valproic acid disposition, particularly since carbamazepine is known to induce enzymes. We gave valproic acid orally to 6 normal subjects, 250 mg twice daily for 4 wk. Carbamazepine, 200 mg once daily, was begun after 4 days on valproic acid. Serum drug concentrations were measured during 4 dosing intervals, once before and 3 times after beginning carbamazepine. Minimum steady-state concentrations of valproic acid declined after carbamazepine from 34.4 +/- 5.1 to 27.1 +/- 4.4 mug/ml (p less than 0.0005). Clearance rose from 6.46 +/- 0.80 to 8.48 +/- 2.28 ml/hr/kg (p less than 0.01). The increase in clearanace and decrease in minimum steady-state levels was apparent only after 2 wk on carbamazepine. The elimination rate constant (KE) during the dosing interval did not rise during carbamazepine administration (0.0623 +/- 0.0168 hr--1 before and 0.0573 +/- 0.0168 hr--1 after, p greater than 0.25), raising the possibility of an increase in distribution volume.

Time-course of interaction between carbamazepine and clonazepam in normal man.

The applicability of a pharmacokinetic model for drug interactions by enzyme induction was tested by chronic dosing situation using carbamazepine (Tegretol) as the inducer and clonazepam (Clonopin) as the drug affected. Seven healthy subjects received one 1.0 mg clonazepam tablet once a day for 29 days and one 200 mg carbamazepine tablet once a day from days 8 to 29. Plasma levels of clonazepam were measured by electron-capture gas-liquid chromatography and those of carbamazepine and its epoxide metabolite by gas chromatographic-chemical ionization-mass spectrometry. Clonazepam plasma levels reached an initial steady-state by day 7 and declined to a lower steady-state over 5 to 15 days after additions of carbamazepine. The decrease in clonazepam levels ranged between 19% and 37%. Autoinduction of carbamazepine metabolism was also evident. Urinary excretion of D-glucaric acid increased 2- to 4-fold following carbamazepine administration (p less than 0.005). This increase provided additional evidence that the present interaction was due to enzyme induction. Experimental clonazepam levels were fitted to an induction pharmacokinetic model for multiple dosing with an exponentially increasing clearance. Induced half-lives of clonazepam (mean = 22.5 +/- 11.5 hr) were shorter (p less than 0.005) than control values (32.1 +/- 16.6 hr). Apparent enzyme(s) turnover half-lives ranged between 1 and 6 days.

Ethosuximide kinetics: possible interaction with valproic acid.

Ethosuximide kinetics were determined in six normal healthy adults after a single dose (phase 1) and at steady-state (phase 2). After the completion of phase 2, valproic acid was added to the ethosuximide regimen (phase 3) to assess the possibility of drug interaction. Between phases 1 and 2 total clearance fell from 13.1 to 11.1 ml/hr/kg (P less than 0.05) and nonrenal clearance fell from 10.1 to 8.3 ml/hr/kg (P less than 0.05). When valproic acid was added (phase 3) there was no further change in total or nonrenal clearance (11.2 and 8.3 ml/hr/kg). To assess the possibility of nonlinear ethosuximide kinetics a review was conducted of patients who received ethosuximide as sole therapy for absence seizures. Of 106 patients, 10 met the required criterion that defined steady state. Data from seven of the 10 patients showed evidence of a nonlinear relationship when steady-state ethosuximide concentrations were plotted against dose.

Valproic acid dosage and plasma protein binding and clearance.

Valproic acid clearance was determined in six normal subjects during a single-dose (250-mg) study and multiple-dose experiments of 500, 1,000, and 1,500 mg/day. Eight consecutive oral doses were taken at 12-hr intervals at each dosing level. Valproate levels and protein binding were determined at steady state. Clearance declined 20% from 8.33 +/- 2.44 to 6.67 +/- 1.25 ml/hr/kd between the single-dose and the 500-mg/day steps (p = 0.05). Clearance was unchanged between the 500- and 1,000-mg/day steps despite a 44% increase in mean free fraction (0.0703 +/- 0.0381 vs 0.1011 +/- 0.0438, p < 0.05), implying a balanced opposing decline in intrinsic clearance (from 89.2 +/0 71.0 to 72.0 +/- 20.8 ml/hr/kg; p = 0.025). In four subjects completing the 1,500-mg/day step, clearance increased from 6.76 +/- 1.48 ml/hr/kg (1,000- mg/day) to 8.20 +/- 1.62 ml/hr/kg, corresponding to a further increase in free fraction. Free fraction varied within a single dosing interval (%SD = 11% to 49%). The apparent dose-related decline in intrinsic clearance suggests autoinhibition or saturation of metabolism.

Pharmacokinetics of carbamazepine in normal man.

The bioavailability of commercial carbamazepine talbets with and without meals was compared to a propylene glycol solution respect to extent of absorption in 6 normal humans after a dose of 6 MG/KG. The presence of dose-dependent kinetics within a clinically sigificant range was also investigated. Serum and urine samples were assayed by gal-liquid chromatography (GLC). Carbamazepine is rapidly absorbed from the propylene glycol solution. Eight per cent of the dose was absorbed from the commercial tablet, resulting in therapeutic serum concentrations(30 to 6 mcg/ni). The data were consitent with disolution rate-limited absorption. Mean half-lives ranged from 31 to 35 hr. No dose-dependent kinetics were observed following administration of does of 3. 6. or 9 mg/kg. The fraction of dose abosrbed, the fraction excredted unchanged in urine, the time of maxium serum concentration, and absorption and elimination half-lives appear to be independent of dose. The time course of side effects could not be correlated with serum carbamazepine levels, suggesting that metabolities contributed to side effects.

Diurnal variation in valproic acid clearance.

Diurnal variation in total and unbound valproic acid concentrations was measured at steady state in seven healthy men and three healthy women after 250-mg oral doses every 12 hr. Total average steady-state concentration (Css) during the morning dosage interval was 50.4 mg/l. During the evening dosage interval, total Css was 45.7 mg/l. Unbound Css was also less during the evening (2.9 and 3.4 mg/l). These changes were due to higher total and unbound clearance rates during the evening dosage interval. Total peak concentrations were lower (56.8 and 64.3 mg/l) and time of peak concentrations slightly longer (2.2 and 1.8 hr) during the evening. There was marked interindividual variability in all these changes. For best reproducibility of steady-state valproic acid concentrations, our results suggest that total and unbound levels be drawn at the same time of day.

Kinetics of a carbamazepine-ethosuximide interaction.

Carbamazepine and ethosuximide are used together to treat epileptic mixed-seizure patterns. Since carbamazepine has been shown to induce drug-metabolizing enzyme(s) in the liver, it follows that carbamazepine may alter ethosuximide disposition. Six normal subjects took one 250-mg ethosuximide capsule twice each day for 55 consecutive doses (study days 1 to 28) and one 200-mg carbamazepine tablet each evening from study days 11 to 27. Plasma samples were collected on study days 10, 17, 21, and 28. Mean steady-state concentrations of ethosuximide declined by 17% from a preinduction (study day 10) level of 32.2 +/- 5.6 micrograms/ml to a postinduction level of 26.8 +/- 5.2 micrograms/ml on study day 28. Ethosuximide clearance increased (alpha = 0.05) between study days 10 and 28 from 0.664 +/- 0.120 to 0.800 +/- 0.0154 l/hr. The time course of induction was analyzed using a kinetic induction theory. Ethosuximide half-life was lowered from mean - 53.7 +/- 11.5 hr (before induction) to mean = 44.6 +/- 10.7 hr (after induction); the difference between some subjects was large. These data show that ethosuximide disposition is altered by carbamazepine.

Clorazepate kinetics in treated epileptics.

Clorazepate is decarboxylated to form desmethyldiazepam and is a convenient way of administering it. Its kinetics were investigated in epileptic patients after single oral and multiple oral doses. Peak serum concentrations of demethyldiazepam occurred in 0.5 to 1 hr. There appeared to be a brief lag before rapid absorption. Because of the rapid absorption with resulting high serum levels, daily doses should be divided. Serum concentration/time curves were best fitted by the two-compartment open model. The apparent t1/2 of the distribution phase was 1.28 +/- 0.44 hr and the t1/2 of the disposition phase was 40.8 +/- 9.96 hr. Serum concentrations rose after meals. Whole body apparent volume of distribution (VB/F) was 1.63 +/- 0.24 L/kg. Total plasma clearance was 34.4 +/- 7.2 ml/min, which is greater than clearance levels for desmethyldiazepam in normals and reflects the greater hepatic metabolism which occurs in treated epileptics. The discrepancy illustrates the hazards of extrapolating data collected in normals to patients with multiple drug exposures.

Valproic acid clearance: unbound fraction and diurnal variation in young and elderly adults.

Six young (22 to 25 years old) and six elderly (60 to 88 years old) healthy adults took valproic acid, 250 mg by mouth, at 8 am and 8 pm for 5 days. On the fifth day, blood samples were drawn over each dosage interval. Both young and elderly subjects exhibited diurnal variability. Total and unbound clearances in the young and elderly subjects were about 10% and 15% higher during the evening. These changes led to lower total and unbound steady-state and peak concentrations during the nighttime dosage interval. There were no differences in total steady-state concentrations and kinetics computed from total concentrations between the young and elderly, but there were differences in unbound steady-state concentrations and kinetics. Unbound clearances were 65% lower, which resulted in unbound steady-state concentrations 67% higher in the elderly. The average unbound fractions in the elderly and young were 10.7% and 6.4%. To minimize the influence of diurnal variability, drug concentrations should be determined at the same time each day. Total valproic acid concentration data may be less useful in elderly patients; unbound concentrations may be more reliable in this population.

Stiripentol kinetics in epilepsy: nonlinearity and interactions.

Stiripentol kinetics during oral therapy were assessed in six patients with epilepsy who were receiving other antiepileptic drugs. Steady-state levels at 600, 1200, and 2400 mg/day increased in a nonlinear fashion, indicating Michaelis-Menten kinetics. Oral clearance of stiripentol at 600 mg/day was 41.5 +/- 23.4 l/day/kg (mean +/- SD), greater than that at 1200 mg/day (20.3 +/- 8.8 l/day/kg; P less than 0.05) or 2400 mg/day (8.5 +/- 3.8 l/day/kg; P less than 0.01). The apparent in vivo Michaelis-Menten parameters were determined from three mean steady-state concentrations. The average velocity of conversion of stiripentol to its metabolites (Vm), Michaelis constant (Km), and the ratio Vm/Km were 49.3 +/- 13.1 mg/day/kg, 1.35 +/- 1.08 mg/l, and 50.2 +/- 27.5 l/day/kg. Stiripentol reduced the elimination clearances of concomitant antiepileptic drugs. Phenytoin clearance was reduced in all five subjects who received this drug, from a mean control of 29.5 +/- 13.4 l/day to 18.5 +/- 4.6 l/day at a stiripentol dose of 1200 mg/day (P = 0.05) and to 6.48 +/- 2.59 l/day at 2400 mg/day (P less than 0.01). Stiripentol reduced the clearance of carbamazepine in one subject from a control value of 209 l/day to 128 l/day (1200 mg/day) and 61 l/day (2400 mg/day). Stiripentol reduced phenobarbital clearance in two subjects from 3.8 and 5.1 l/day to 2.3 and 3.4 l/day (2400 mg/day). The Michaelis-Menten kinetics of stiripentol, as well as its interactions with other antiepileptic drugs, have important implications in the designing of controlled clinical trials.

Measurement of in vivo microsomal epoxide hydrolase activity in white subjects.

An impairment or hereditary defect in microsomal epoxide hydrolase is considered a possible risk factor for drug and chemical toxicity. However, nothing is known about variability of in vivo epoxide hydrolase activity in humans. Our objectives were to develop and test a simple pharmacokinetic approach for measuring microsomal epoxide hydrolase activity in a population. After administration of carbamazepine-10,11-epoxide (100 mg), oral clearance showed a nearly linear relationship to the log (transdihydrodiol/epoxide) urine ratio in the 24- to 36-hour interval (log metabolic ratio). Intrasubject variability was assessed by administering the epoxide twice to 13 subjects (1- to 4-month interval); the log metabolic ratio did not change significantly (mean difference, 11%; paired t test, p = 0.79). In 110 healthy white adults, the log metabolic ratio ranged from 1.28 to 2.05 (mean +/- SD, 1.68 +/- 0.155). Outliers indicating enzyme-deficient phenotypes were not observed, and the frequency distribution was unimodal normal. The log metabolic ratio detected pronounced inhibition of epoxide hydrolase by valpromide (six subjects; median ratio, 0.91) and induction by phenobarbital/phenytoin (six subjects; median ratio, 2.42). We conclude that distribution of microsomal epoxide hydrolase activity in a study group can be measured pharmacokinetically by use of carbamazepine epoxide.

Inhibition of human liver microsomal epoxide hydrolase by valproate and valpromide: in vitro/in vivo correlation.

On the basis of drug interactions with carbamazepine epoxide, it has been hypothesized that valproic acid and valpromide are inhibitors of epoxide hydrolase, but the role of epoxide hydrolase in these interactions has not been clearly established. In this study, therapeutic concentrations of valproic acid (less than 1 mmol/L) and valpromide (less than 10 mumol/L) inhibited hydrolysis of carbamazepine epoxide and styrene oxide in human liver microsomes and in preparations of purified human liver microsomal epoxide hydrolase. Valpromide (KI = 5 mumol/L) was 100 times more potent than valproic acid (KI = 550 mumol/L) as an inhibitor of carbamazepine epoxide hydrolysis in microsomes. After administration of carbamazepine epoxide to volunteers, the transdihydrodiol formation clearance was decreased 20% by valproic acid (blood concentration approximately 113 mumol/L) and 67% by valpromide (blood concentration less than 10 mumol/L). For both valproic acid and valpromide, a striking similarity exists between in vitro and in vivo inhibitory potencies. Valproic acid and valpromide are the first drugs known to inhibit microsomal epoxide hydrolase, an important detoxification enzyme, at therapeutic concentrations.

Clonazepam acetylation in fast and slow acetylators.

Six slow acetylators (SAs) and six rapid acetylators (RAs), as determined by sulfamethazine (SMZ) phenotyping, were each given a 2-mg oral dose of clonazepam. Ninety-six-hour urine collections from these subjects were analyzed for clonazepam, 7-amino clonazepam (7-AM, clonazepam nitroreduced metabolite), and 7-acetamido clonazepam (7-ACT, N-acetylated 7-AM). The SA group excreted more 7-AM and less 7-ACT than the RA group; mean (+/- Sd) recovered as 7-AM was 22.7 +/- 5.0% for the SA group and 13.6 +/- 4.1% for the RA group and mean (+/- SD) recovered as 7-ACT was 1.5 +/- 0.4% for the SA group and 3.9 +/- 1.8% for the RA group. Both differences were substantial (p less than 0.02 by unpaired t test) and indicate that the rate of acetylation of 7-AM to 7-ACT in the biotransformation of clonazepam is determined by the acetylator phenotype.

Fluvoxamine-theophylline interaction: gap between in vitro and in vivo inhibition constants toward cytochrome P4501A2.

OBJECTIVE: Several reports indicate that fluvoxamine decreases the clearance of cytochrome P4501A2 (CYP1A2) substrates. This study compared in vitro and in vivo inhibition potencies of fluvoxamine toward CYP1A2 with an approach based on inhibition constants (K(i)) determined in vitro and in vivo. METHODS: In vitro inhibition constant values were determined with human liver microsomes and complementary deoxyribonucleic acid-expressed CYP1A2 (supersomes). Fluvoxamine in vivo inhibition constants (K(i)iv) for CYP1A2 were obtained from an investigation of single-dose theophylline (250 mg) disposition in 9 healthy volunteers receiving steady-state (9 days) fluvoxamine at 3 doses (0, 25, or 75 mg/d) in a randomized crossover design. RESULTS: In vitro K(i) values based on total inhibitor concentrations were 177 +/- 56 nmol/L, 121 +/- 21 nmol/L, and 52 +/- 13 nmol/L in human liver microsomes with 1 mg/ml protein and 0.5 mg/ml protein and in supersomes with 0.3 mg/ml protein, respectively. The corresponding in vitro K(i) values based on unbound fluvoxamine concentrations were 35 nmol/L, 36 nmol/L, and 36 nmol/L. The ratio of 1-methyluric acid formation clearances (control/inhibited) in 8 subjects was positively correlated with fluvoxamine concentration (r (2) = 0.87; P <.001) with an intercept near 1. Mean values for K(i)iv based on total and unbound plasma concentrations at steady state were 25.3 nmol/L (range, 14-39 nmol/L) and 3.6 nmol/L (range, 2.4-5.9 nmol/L), respectively. CONCLUSION: Comparison of in vitro and in vivo K(i) values based on unbound fluvoxamine concentrations suggests that fluvoxamine inhibition potency is approximately 10 times greater in vivo than in vitro.

Bidirectional interaction of valproate and lamotrigine in healthy subjects.

OBJECTIVE: To evaluate the steady-state pharmacokinetics of lamotrigine and valproate at three dosing levels of lamotrigine in normal volunteers receiving steady-state therapeutic doses of valproate. METHODS: This was an open-label, randomized, three-way crossover study of 18 normal male volunteers. Subjects received oral valproate (500 mg Depakote twice a day) throughout the study. Each subject subsequently received three oral dosage regimens of lamotrigine (50, 100, or 150 mg/day) for 1 week each, with a 2-week washout period between lamotrigine treatment periods. Valproate and lamotrigine trough plasma samples were determined by a capillary gas chromatography method and immunofluorometric assay, respectively. Urine samples were assayed for 11 valproate metabolites by gas chromatography/mass spectrometry. RESULTS: When compared to other studies in which lamotrigine was administered with no concurrent antiepileptic drug, concomitant valproate markedly increased the half-life of lamotrigine and decreased lamotrigine clearance, without substantial alteration in the linear kinetics of the drug. The addition of lamotrigine was associated with a small but significant 25% decrease in steady-state valproate plasma concentration. Oral clearance of valproate was increased (from 7.2 +/- 1.1 ml/hr/kg before lamotrigine treatment to 9.0 +/- 2.0 ml/hr/kg on day 28; p < 0.05). The formation clearance of the hepatotoxic valproate metabolites, 2-n-propyl-4-pentenoic acid (4-ene-valproate) and 2-propyl-2,4-pentadienoic acid [2(E),4-diene-valproate], was unaffected by lamotrigine administration. CONCLUSIONS: As a consequence of the interaction between lamotrigine and sodium valproate, a dosage reduction of lamotrigine should be considered in patients taking a combination of valproate and lamotrigine.