The genome organization and diversification of maize and its allied species revisited: evidences from classical and FISH-GISH cytogenetic analysis.

The present review summarizes our classical and molecular cytogenetic investigations in the genus Zea. The results obtained from the meiotic behavior analysis of Zea species and hybrids, confirm the amphiploid nature of all species in the genus, with a basic number of x = 5 chromosomes. All species with 2n = 20 are diploidized allotetraploids, whereas Z. perennis (2n = 40) is an allooctoploid with four genomes somewhat divergent from one another. These analyses also revealed the existence of postzygotic reproductive isolation among Zea species. Our studies using genomic in situ hybridization (GISH) provide evidence about the evolutionary relationships among maize and its allied species, and reveal remarkable genomic divergences. Particularly, knob sequences were not completely shared between taxa previously considered to be closely related. Our data strongly suggest that the teosinte Z. mays parviglumis is not the only progenitor of cultivated maize. Introgression of Tripsacum into cultivated maize cannot be discarded.

Comparison of the Bayesian approach and a simple algorithm for assessment of adverse drug events.

The differential diagnosis of severe adverse drug events can be based on clinical judgment, algorithms, or the Bayesian approach. The Bayesian Adverse Reactions Diagnostic Instrument (BARDI) calculates the posterior probability (PsP) in favor of a specific drug cause based on background (e.g., epidemiologic) and case information (e.g., time of onset). Although BARDI discriminates between drug- and nondrug-induced adverse events, its apparent complexity may limit its use. BARDI results were compared with those from an algorithm for rating the probability that an adverse drug event is drug-induced (Adverse Drug Reaction Probability Scale, or APS) that is still commonly used. APS scores were obtained by two independent raters for 106 challenging cases that had been analyzed from 1 to 5 years ago with BARDI (91 cases of hypersensitivity, 12 cases of hematologic toxicity, and three cases of pulmonary toxicity); 130 ratings were generated because of the use of multiple drugs. APS scores for the two raters were highly correlated (r = 0.79; p < 0.0001). Probabilities of drug causation with use of BARDI versus average APS scores were significantly correlated (rs = 0.45; p < 0.0001). However, BARDI better distinguished cases that were highly probable (n = 83; PsP > or = 0.75) or highly improbable (n = 30; PsP < or = 0.25), whereas the APS rated the majority of these cases in the midrange (n = 128; range of APS, 1 to 8.9). These results suggest that APS and BARDI evaluations are concordant. Thus the APS may be an effective screening tool, although BARDI can better discriminate drug from nondrug-induced cases and may be more appropriate for serious cases of adverse drug reactions.

Nonfatty acid-modulated variations in drug binding due to heparin.

Changes in free fatty acids (FFAs) do not always correlate with variations in drug binding. To dissociate heparin effects on FFAs and drug binding, six healthy fasting subjects received 50 units (USP) IV heparin (Harris L932) with and without protamine (3.2 mg IV). Protamine completely suppressed heparin-induced rises in FFAs and warfarin free fraction (W alpha), but diazepam free fraction (D alpha) increased (P less than 0.005). In vitro, increasing concentrations of heparin added to serum increased D alpha (P less than 0.0005) and W alpha (P less than 0.005) without changing FFAs. In eight subjects given 50 units IV heparin (Harris L014), FFAs (P less than 0.001) and propranolol free fraction (P alpha) rose (P less than 0.01), but variations in FFAs and P alpha did not correlate (r = 0.18). When two different heparin lots (Harris L014 and Organon LA39) were tested in vivo. Harris L014 heparin increased FFAs (P less than 0.005) and P alpha (P less than 0.0005), but variations in FFAs and P alpha correlated poorly (r = 0.43, P less than 0.05). In contrast, the Organon LA39 heparin did not change FFAs, but did increase P alpha (P less than 0.0005); variations in FFAs and P alpha did not correlate (r = 0.22). These results indicate that heparin-induced variations in drug binding are not exclusively related to changes in FFAs.

Using fuzzy logic to predict response to citalopram in alcohol dependence.

INTRODUCTION: The prediction of patient response to new pharmacotherapies for alcohol dependence has usually not been successful with standard statistical techniques. We hypothesized that fuzzy logic, a qualitative computational approach, could predict response to 40 mg/day citalopram and 40 mg/day citalopram with a brief psychosocial intervention in alcohol-dependent patients. METHODS: Two data sets were formed with patients from our studies who received 40 mg/day citalopram alone (n = 34) or 40 mg/day citalopram and a brief psychosocial intervention (n = 28). The output variable, "response," was the percentage decrease in alcohol intake from baseline. Input variables included age, gender, baseline alcohol intake, and levels of anxiety, depression, alcohol dependence, and alcohol-related problems. RESULTS: A fuzzy rulebase was created from the data of 26 randomly chosen patients who received 40 mg/day citalopram and was used to predict the responses of the remaining eight patients. Eight rules related response with depression, anxiety, alcohol dependence, alcohol-related problems, age, and baseline alcohol intake. The average magnitude of the error in the predictions (RMSE) was 2.6 with a bias (ME) of 0.6. Predicted and actual response correlated (r = 0.99; p < 0.001). A fuzzy rulebase was created from the data of 28 randomly chosen patients who received 40 mg/day citalopram and a brief psychosocial intervention and was used to predict the responses of the remaining five patients. Six rules related response with age, anxiety, depression, alcohol dependence, and baseline alcohol intake with good predictive performance (RMSE = 6.4; ME = -1.5; r = 0.96; p < 0.01). CONCLUSIONS: This study indicates that fuzzy logic modeling can predict response to pharmacotherapies for alcohol dependence.

Inter- and intrasubject variation in diazepam free fraction.

The extent of intersubject variation in diazepam free fraction was measured in fasting plasma of 74 unrelated subjects. Free fraction differences between subjects were significant and ranged from 0.97% to 1.99%. Diazepam free fraction in 29 males was normally distributed about a mean of 1.25% (range, 1.05% to 1.47%), but the distribution in females was skewed to higher free fractions and 40% had values above the highest in males. Albumin concentration (r = -0.27, p less than 0.002) and age (r = 0.44, p less than 0.001) only accounted for a small part of the variation. Within-pair variances were not greater in 11 dizygotic than in 18 monozygotic twin pairs, indicating a greater contribution of environmental than of genetic factors to diazepam binding. The prehemodialysis free fractions of diazepam in 9 uremic patients ranged from 3.44% to 6.69%, and decreased (p less than 0.005) in 7 after 6 hr of hemodialysis. In 10 subjects determination of intrasubject variation in diazepam free fraction between 14-hr fasting and 2-hr postprandial plasma samples indicated that because subjects differ in their pattern of change in free fraction (p less than 0.001), the overall decrease in mean free fraction did not achieve statistical significance (p = 0.10). The mean relative percent change in free fraction within subjects after feeding was 15.2%.

Furosemide-induced adverse reactions in cirrhosis of the liver.

Furosemide is frequently used for ascites and causes adverse reactions (AR). In an intensive prospective drug monitoring study of 1,920 patients, 172 (8.9%) had cirrhosis of the liver and received furosemide. Mean age was 53 years, and 66.3% were male; and 87% had alcoholic cirrhosis. Eighty-eight (51.2%) had 221 events that by consensus of the monitoring team and attending physicians were either definitely of probably related to furosemide. No AR was fatal but 24% of patients had severe reactions. Almost all reactions were dose-related (96%). The most common were electrolyte disturbances (23.3% of patients) and volume depletion (14%). Furosemide-induced coma occurred in 20 (11.6%) patients and was more frequent in patients with prior hepatic encephalopathy (p less than 0.0005). Higher total doses (p less than 0.001), hyerbilirubinemia (p less than 0.05), prolonged prothrombin time (p less than 0.02), and longer hospital stay (p less than 0.001) were associated with higher frequencies of AR to furosemide. The frequency of hypokalemia did not decrease when potassium chloride or potassium-sparing diuretics were added to furosemide therapy. Frequdncy of AR did not correlate with age, sex, renal impairment, serum albumin, transaminase, or alkaline phosphatase.

Fluoxetine differentially alters alcohol intake and other consummatory behaviors in problem drinkers.

The effects of fluoxetine, a relatively selective long-acting serotonin uptake inhibitor, on the consumption of alcoholic and nonalcoholic drinks, cigarette smoking, and body weight were assessed in 29 men who were early stage problem drinkers. After a 2-week baseline, subjects were randomly assigned to receive 40 mg/day fluoxetine (n = 8), 60 mg/day fluoxetine (n = 11), or placebo (n = 10) for 4 weeks. Fluoxetine 60 mg/day decreased mean daily alcoholic drinks from (X +/- SEM) 8.3 +/- 0.7 during baseline to 6.9 +/- 0.7 and decreased total drinks per 14 days from 115.8 +/- 9.3 to 96.5 +/- 9.5 (p less than 0.01; 17.3% decrease from baseline), with no significant increase in days of abstinence. Neither 40 mg/day fluoxetine nor placebo had effects on intake of alcohol. Fluoxetine 60 mg/day decreased total and mean daily alcoholic drinks compared with 40 mg/day fluoxetine (ANCOVA, both p less than 0.02), but neither dose of fluoxetine was different from placebo. Compared with placebo, both 40 mg/day fluoxetine and 60 mg/day fluoxetine no differences were detected between treatment groups, 60 mg/day fluoxetine increased mean daily nonalcoholic beverages from baseline (5.0 +/- 0.4 to 5.6 +/- 0.3, p less than 0.01) and increased daily cigarettes smoked (from 25.1 +/- 4.6 to 26.9 +/- 4.5, p less than 0.05), whereas no significant changes from baseline were observed with 40 mg/day fluoxetine or placebo.(ABSTRACT TRUNCATED AT 250 WORDS)

The serotonin uptake inhibitor citalopram attenuates ethanol intake.

No effective drug for decreasing ethanol intake is available for clinical use. Our previous studies showed that zimeldine decreased ethanol intake in rats and nondepressed alcohol abusers. However, zimeldine was withdrawn from the market because of serious toxicity. We tested citalopram, a selective serotonin uptake inhibitor, in 39 male nondepressed early-stage problem drinkers (aged 19 to 61 years). Subjects were randomly allocated to receive either citalopram, 20 (n = 20) or 40 (n = 19) mg/day orally, or placebo in a double-blind, crossover trial. Citalopram administration and ethanol intake were assessed by self-report and objectively. Citalopram, 20 mg/day, did not show an effect. However, citalopram, 40 mg/day, decreased the number of drinks consumed (F1,17 = 5.27; P less than 0.05) and increased the number of abstinent days (F1,17 = 13.18; P less than 0.005). The effect is probably through modulation of the neurobiologic mechanisms regulating ethanol intake. Our results suggest a new pharmacologic approach to decrease ethanol intake.

Citalopram decreases desirability, liking, and consumption of alcohol in alcohol-dependent drinkers.

In previous studies serotonin uptake inhibitors such as citalopram decreased alcohol consumption in alcoholics. The mechanism of the effect is not fully understood. This study tested the hypothesis that it is mediated by changes in desire to drink and alcohol effects. After a 1-week baseline period, subjects (13 men and three women; aged 26 to 69 years; healthy, nondepressed, alcohol-dependent drinkers [mean, 6.6 drinks per day]) were randomized in a double-blind fashion to receive 40 mg/day citalopram and placebo for 1 week each, separated by a 1-week washout period. Daily standard alcoholic drinks (13.6 gm ethanol), nonalcoholic drinks, and tobacco use were recorded; evening urine samples were taken; and interest, desire, craving, and liking for alcohol were rated. Medical status, depression, and anxiety were assessed weekly, but no other treatment or advice was given. Daily alcoholic drinks significantly decreased during citalopram treatment (mean +/- SEM = 4.6 +/- 0.6) compared with placebo (5.7 +/- 0.8; p = 0.01), and the average decrease was 17.5%. Percentage of days abstinent increased during citalopram administration (27.7% +/- 5.7%) compared with placebo (15.5% +/- 3.7%; p less than 0.01). Citalopram decreased interest, desire, craving, and liking for alcohol (all p less than 0.05). There was clear internal validation of these measures in that variations in each correlated with alcohol consumption (all r greater than 0.5, p less than 0.05). Nonalcoholic drinks, self-reports of cigarettes smoked (daily smokers), and body weight did not change significantly. In experimental bar sessions, after the citalopram and placebo periods, subjects were required to consume as many of 18 minidrinks as possible (equivalent to six standard drinks) at 5-minute intervals. Subjects rated their desire for alcohol, intoxication, and mood. Citalopram had no significant effects on the desirability of alcohol or subjective feelings of intoxication. The findings indicate that serotonin uptake inhibitors may act by decreasing the urge to drink and the reinforcing effects of alcohol. Also, a naturalistic outpatient trial is a sensitive, simple, and economic procedure for detecting these drug effects.

Enalapril effects on alcohol intake and other consummatory behaviors in alcoholics.

Animal studies suggest that angiotensin-converting enzyme inhibitors decrease alcohol intake. In a double-blind crossover study 42 normotensive alcoholics (36 men and six women) aged 24 to 65 years, consuming 8.2 +/- 2.3 (mean +/- SD) standard alcoholic drinks per day, were randomized to enalapril, 10 mg/day (n = 20) or 20 mg/day (n = 22), and placebo for 4 weeks. They monitored their daily alcohol intake and attended biweekly assessments, but no other treatment or advice was given. Compliance and alcohol intake were verified objectively. Mean daily alcoholic drinks were not significantly different during 10 mg/day enalapril (mean +/- SEM, 7.5 +/- 0.5), and its placebo (7.2 +/- 0.5), but both decreased from baseline (8.1 +/- 0.5; both p less than 0.05). Similarly, mean daily drinks during 20 mg/day enalapril (6.8 +/- 0.6) and its placebo (7.2 +/- 0.4) was not significantly different, but both were lower than baseline (8.3 +/- 0.5; both p less than 0.01). Fourteen (64%) of the patients taking 20 mg/day enalapril decreased alcohol intake from placebo by an average of 21% (range, 1.6% to 78.3%). Self-ratings of interest, desire, craving, and liking for alcohol also decreased from baseline during enalapril and placebo treatments, but the effects of both were similar. Plasma renin activity increased, compared with placebo, after 10 mg/day enalapril (from 0.3 +/- 0.2 [mean +/- SD] to 1.9 +/- 1.5 ng/L/sec) and after 20 mg/day enalapril (from 0.4 +/- 0.3 to 2.8 +/- 4.0 ng/L/sec) (both p less than 0.05). Blood pressure decreased within a normotensive range, compared with placebo, with 10 mg/day enalapril (by 6.0 and 8.5 mm Hg systolic and diastolic blood pressures) and 20 mg/day enalapril (by 7.7 and 5.0 mm Hg, respectively). Side effects were few and mild. No patient characteristic or drug effect correlated with changes in alcohol intake. There were no significant variations in nonalcoholic beverages, cigarette smoking, or body weight. These results indicate that enalapril does not alter alcohol intake in normotensive alcoholics with normal plasma renin activity. Studies with higher doses of enalapril in humans may be limited by increased frequency and severity of side effects.

Fuzzy logic pharmacokinetic modeling: application to lithium concentration prediction.

INTRODUCTION: We hypothesized that fuzzy logic could be used for pharmacokinetic modeling. Our objectives were to develop and evaluate a model for predicting serum lithium concentrations with fuzzy logic. METHODS: Steady-state pharmacokinetic data had been previously collected in 10 elderly patients (age range, 67 to 80 years) with depression who were receiving lithium once daily. Each patient had serial serum lithium concentration determinations over one 24-hour period. The resulting 137 data sets initially consisted of five input variables (age, weight, serum creatinine, lithium dose, and time since last dose) and one output variable (serum lithium concentration; range, 0.2 to 1.24 mmol/L). RESULTS: A fuzzy rulebase was created with 87 randomly chosen data sets, and predictions of serum lithium concentration were made on the basis of the remaining 50 data sets. All of the input variables except age and weight were identified as contributing to the fuzzy logic model. The average magnitude of the error in the predictions was 0.13 mmol/L (root mean squared error) with a bias (mean of the prediction errors) of 0.03 mmol/L. CONCLUSIONS: This study indicates that the use of fuzzy logic for pharmacokinetic modeling of lithium for serum concentration predictions is feasible.

Paroxetine potentiates the central nervous system side effects of perphenazine: contribution of cytochrome P4502D6 inhibition in vivo.

BACKGROUND: Paroxetine is a frequently used antidepressant and a potent inhibitor of the CYP2D6 isozyme in vitro (inhibition constant [Ki] = 0.15 micromol/L). Most classic antipsychotic agents such as perphenazine are metabolized by the CYP2D6 isozyme and are often coadministered with antidepressant agents. This study assessed the extent of changes in CYP2D6 isozyme activity in vivo after pretreatment with paroxetine and its consequences on perphenazine kinetics and central nervous system effects. METHODS: Eight extensive metabolizers for CYP2D6 were administered a single dose of perphenazine (0.11 mg/kg orally) or placebo following a randomized double-blind design. Perphenazine plasma concentrations and effects were assessed for a period of 8 hours. Subsequently, subjects were treated with a standard therapeutic dose of paroxetine (20 mg/day orally) for 10 days and test sessions with perphenazine and placebo were repeated. RESULTS: Paroxetine treatment resulted in a twofold to 21-fold decrease in CYP2D6 activity (p < 0.001). After pretreatment with paroxetine, perphenazine peak plasma concentrations increased twofold to 13-fold (p < 0.01). This was associated with a significant increase in central nervous system side effects of perphenazine, including oversedation, extrapyramidal symptoms, and impairment of psychomotor performance and memory (p < 0.05). CONCLUSION: Coadministration of perphenazine after pretreatment with a standard therapeutic dose of paroxetine increased the plasma concentration and central nervous system side effects of perphenazine, primarily as a result of inhibition of the CYP2D6 isozyme. In patients who are at steady state with paroxetine, a reduction of perphenazine dose may be required to prevent central nervous system side effects.

Intravenous diazepam and oral ethanol interaction.

The mechanism of the interaction between ethanol and diazepam is not known. Six healthy male subjects (aged 21 to 32 yr) were randomly assigned in a balanced crossover study to each of two treatments, 28 days apart: (1) diazepam 10 mg intravenously over 20 min, preceded by 60 min with ethanol 0.7 gm/kg (diluted to 20% v/v) orally over 15 min and followed for 8 hr by ethanol 0.15 gm/kg/hr to maintain the blood alcohol concentrations between 800 to 1,000 mg/l; (2) diazepam 10 mg intravenously over 20 min. The area under the curve (AUC) for total diazepam increased in all subjects (30.1 +/- 10.7%, mean = SD, p < 0.02) after ethanol. Since AUCfree diazepam also rose in all (mean - 26.5 +/- 17.3%) and AUC of the metabolite N-desmethyldiazepam fell (mean = 50.5 +/- 11.7%, p < 0.01) there had been inhibition of hepatic intrinsic clearance of free drug. The susceptibility of individuals to inhibition of N-desmethylation by ethanol is qualitatively determined by total drug concentrations. Estimation of free diazepam concentration coupled with measurement of metabolite affords a qualitative and quantitative evaluation of the mechanism of this interaction.

Variability in heparin effect on serum drug binding.

Heparinized saline was given to seven men and one woman, aged 21 to 42 yr, after a 14-hr fasting period and 2 hr after breakfast; blood was collected in nonoheparinized tubes. Diazepam (D alpha) and warfarin (W alpha) free fractions were determined in serum by equilibrium dialysis to which radiolabeled drug was added. After 50 U heparin (Harris LO14) intravenously, the maximum effect on D alpha, W alpha, and free fatty acids (FFA) developed in 5 min and lasted 20 to 30 min. D alpha rose and W alpha fell (p < 0.01) at 5 min. Cumulative doses of heparin increased FFAs (F4,16 = 18.29, p < 0.0005). D alpha rises (r = 0.73, p < 0.001) and W alpha falls (r = -0.74, p < 0.001) correlated with changes in FFAs. D alpha rises and W alpha falls were greater postprandially than in the fasted state (p < 0.01). Five subjects were randomly assigned up to 400 U intravenously of each of two different heparin lots (Harris LO14, and Organon LA39.) The FFA rises (reflecting heparin lipolytic activity, F1,32 = 179.62, p < 0.0005), D alpha rises (F1,32 = 34.22, p < 0.0005), and the W alpha falls (F1,32 = 33.20, p < 0.0005) by heparin Harris LO14 were greater than those by heparin Organon LA39. Although small doses of heparin, such as those in heparin locks, can affect drug binding, the extent and variability of the effect depends on the biologic activity of the heparin, and varies with manufacturer and lot, exact time of sampling, and eating.

Diazepam loading: simplified treatment of alcohol withdrawal.

Alcohol withdrawal therapy can be simplified with a loading dose of diazepam, taking advantage of the kinetic tapering afforded by the drug's long t 1/2s and its metabolites, and of the effectiveness of nonpharmacologic maneuvers. In a double-blind trial, 50 inpatients in moderate to severe alcohol withdrawal received 20 mg oral diazepam and supportive care (n = 25) or placebo and supportive care (n = 25) every 2 hr until they were asymptomatic. Fifty-six percent of patients responded to placebo within 5 +/- 2.9 hr (mean +/- SD), whereas 72% responded to initial diazepam within 6.3 +/- 3.9 hr. Patients treated with diazepam had more rapid and greater improvement than those treated with placebo. Patients who did not respond to six doses of diazepam received further (unblinded) diazepam, 20 mg, every 1 to 2 hr. All patients who did not initially respond (n = 18) improved after more diazepam. Thus all patients who received diazepam (n = 36), during the experimental phase or subsequently, were effectively treated. There were no adverse effects. The median number of 20-mg diazepam doses to treat alcohol withdrawal were three, given over a period of 7.6 hr (range = 1 to 12 and 0.33 to 45 hr). Complications occurred only in those who received placebo during the experimental phase, indicating that delay in therapy may be responsible for the appearance of complications in alcohol withdrawal.

Nonpharmacologic intervention in acute alcohol withdrawal.

The importance of nonpharmacologic and pharmacologic interventions in the treatment of alcohol withdrawal is not known. A randomized, double-blind, placebo-controlled trial was conducted with 41 patients in alcohol withdrawal in an emergency department. The patients received either supportive care (10 min of standardized assessments, reassurance, reality orientation, and nursing care an hour) with three doses of sublingual lorazepam 2 mg every 2 hr (21 patients, drug group) or supportive care with three doses of sublingual placebo every 2 hr (20 patients, no-drug group). Immediately before each drug dose, the clinical course of alcohol withdrawal was assessed hourly by the Clinical Institute Withdrawal Assessment for Alcohol (CIWA-A). Interraters reliability in using CIWA-A was high. After each assessment, supportive care was given for 10 min before each dose. After completion of a 7-hr initial phase, patients were discharged and reassessed daily for 5 days. Thirty-seven patients (90.2%) improved in the initial phase. Treatment failures (CIWA-A greater than 10) were more common in the patients treated without drug (3/20, 15%) than in those treated with drug (1/21, 4.8%). Overall variations in intergroup CIWA-A scores during the initial phase were not significant. The rate of improvement of CIWA-A scores over the first 2 hr after drug was slightly faster in patients receiving lorazepam than in the control group. CIWA-A scores were the same during follow-up. These results indicate that most outpatients in mild to moderate alcohol withdrawal without medical complications improve without drug therapy in the emergency department setting.

Diazepam tapering in detoxification for high-dose benzodiazepine abuse.

The clinical characteristics and management of patients who abuse high doses of benzodiazepines are not well described. In a prospective open study, 23 subjects who abused high doses of benzodiazepines were admitted for detoxification. Urine or blood test results confirmed benzodiazepine use in all but one subject and multiple drug use in eight (35%). Median benzodiazepine dose was 150 mg (range 40 to 500 mg) of diazepam equivalent. Initial plasma concentrations (diazepam: median = 1245 ng/ml; desmethyldiazepam: median = 2961 ng/ml) were 400% to 800% higher than usual therapeutic concentrations. For detoxification, subjects were given a loading dose of diazepam equal to approximately 40% their reported daily consumption. This was followed with daily tapering of diazepam by 10%. This regimen resulted in a slow and gradual decline in drug concentrations. Withdrawal symptoms were assessed daily. Sixteen subjects completed detoxification in the hospital without complications. One subject became paranoid and confused on day 7 of withdrawal. This was attributed to a too-low initial loading dose and too-rapid tapering, which resulted in rapid drug elimination. Gradual reduction of diazepam dose appears to be an effective and safe approach for detoxifying abusers of high doses of benzodiazepines.

Acute kinetic and dynamic interactions of zimelidine with ethanol.

The acute interaction of zimelidine (Z) with ethanol (E) was examined in six healthy men aged 20 to 37 yr who randomly received each of four treatments 1 wk apart: Z, 200 mg by mouth, preceded by 1 hr and followed for 7 hr of oral E in juice dosed to maintain blood alcohol concentrations between 800 and 1000 mg/l; placebo Z and E; Z and juice; and placebo Z and juice. E decreased the rate of biotransformation of Z to norzimelidine (NZ) by 46%, but the AUCs of Z, NZ, and their total concentration over 8 hr were not altered by E. Acetaldehyde concentrations did not change and no aversive alcohol-sensitizing reaction was detected. E-induced impairments in memory, body sway, and a manual tracking task were further enhanced by Z, as was the E-induced decrease in friendliness. Data suggest Z and E interact kinetically and dynamically and suggest a mechanism whereby Z may decrease E intake in man.

Chlordiazepoxide and oxazepam disposition in cirrhosis.

When disease impairs clearance of drugs, multiple-dose therapy may result in cumulation. The disposition of chlordiazepoxide (CDX), 50 mg infused intravenously over 10 min, was studied in 14 normal subjects and in 11 patients with biopsy-proven cirrhosis. In the normal subjects, mean (+/- SE) kinetic parameters were: t 1/2 beta, 10.0 (+/- 0.9) hr; Vd, 0.38 (+/- 0.04) l/kg; clearance, 0.54 (+/- 0.13) ml/min/kg. Clearance of total drug correlated inversely with serum albumin concentration in normal subjects (r = -0.63). Values in cirrhotic patients were: t 1/2 beta, 34.9 (+/- 8.7) hr; Vd, 0.34 (+/- 0.024) 1/kg; and clearance, 0.185 (+/- 0.34) ml/min/kg. Desmethylchlordiazepoxide (DMCDX), the major metabolite of CDX, appeared in blood of cirrhotic patients less rapidly than in normal subjects. Severity of liver disease did not indicate the impairment of CDX clearance. In 5 of the same cirrhotic patients, mean t 1/2 beta for oxazepam (7.1 +/- 1.0 hr) was 27% longer than in control subjects (5.6 +/- 0.7 hr); the difference is not significant. On kinetic grounds oxazepam may be preferable to chlordiazepoxide in cirrhotic patients since its elimination kinetics are not greatly altered in cirrhosis.

Differential effects of viqualine on alcohol intake and other consummatory behaviors.

Viqualine, a serotonin releaser and uptake inhibitor, was studied for its effects on consummatory behaviors (intake of ethanol and nonalcoholic beverages, cigarette smoking, and changes in body weight) in 29 men who were early-stage problem drinkers between 21 to 55 years of age. Subjects were randomly assigned to receive a placebo and either 100 mg/day viqualine (n = 15) or 200 mg/day viqualine (n = 14) orally in a double-blind crossover study. Viqualine administration and ethanol intake were assessed by self-reports and by measurement of drug and ethanol concentrations in body fluids. Compared with placebo, 100 mg/day viqualine did not decrease ethanol intake. However, 200 mg/day viqualine significantly decreased the total number of drinks consumed in a 14-day period (F1,12 = 5.3; p less than 0.05). An increase in the number of abstinent days was significant only for those subjects who received the placebo first (F1,6 = 11.3, p less than 0.02). Subjects reported a decreased interest in and decreased desire for alcohol during viqualine treatment. Patterns of response varied, but 64% of the subjects decreased the number of alcoholic drinks consumed and/or increased the number of days of abstinence by at least 25% during treatment with 200 mg/day viqualine compared with placebo treatment. Neither dose of viqualine had an effect on cigarette smoking or on consumption of nonalcoholic beverages, but subjects showed significant decreases in body weight with both doses. These findings indicate that viqualine both attenuates ethanol intake and reduces body weight in human beings.