Use of prescription and nonprescription hypnotics in a Canadian elderly population.

BACKGROUND: Hypnotics are commonly used by older adults, yet little is known about the patterns of their use and effectiveness in this population. METHODS: Three thousand eight hundred sixty anonymous, self-report surveys were distributed to community pharmacies (n=356) across Canada to obtain information on the patterns of use of hypnotics from elderly volunteers. RESULTS: The mean age of respondents was 72+/-7 years (range 60 to 95 years) and 66% were women. In the past year, 53% of respondents used hypnotics. Prescription products accounted for 83% of the past year's use (66% benzodiazepines, 11% zopiclone, 4% antidepressants, 2% opioids), and 17% of the products used were over-the-counter (5% herbal, 5% antihistamines, 3% analgesics). Use was regular (50% daily) and chronic (mean duration six years: range two weeks to 30 years). Hypnotics significantly (P<0.001) improved subjective sleep latency (mean 32 min compared with 93 min), number of nocturnal awakenings (mean two compared with four) and total hours of sleep (mean 7 h compared with 4 h). Effectiveness was highly rated: at the most recent use of the product, mean 7.6 (SD+/-2.2) of 10; initially, 7.9 (SD+/-2.3) with a significance of P=0.02. Most respondents (59%) reported side effects, mainly dry mouth (30%), memory problems (22%) and daytime sleepiness (22%), although 60% rated the side effects as mild. The mean number of other medications used was five (range zero to 17). Of the 54 subjects who used nonprescription sleep products, only half (52%) indicated that their physician was aware of this use. CONCLUSIONS: Prescription drugs were primarily used for sleep and were perceived to be effective even with long term use, despite mild side effects.

Differential pharmacokinetics of lithium in elderly patients.

The pharmacotherapeutic use of lithium in the elderly as acute and maintenance therapy in bipolar disorder and augmentation therapy for major depression is well documented. Differences in the response to lithium are explained, in part, by the effect of age-related physiological changes, comorbid conditions, and concurrent medications on the pharmacokinetics of lithium in the elderly. The pharmacokinetic profile of lithium has been studied for many years, primarily in younger adult populations. Lithium pharmacokinetics may be influenced by a number of factors including age. It was first noted several years ago that elderly individuals required lower doses of lithium to achieve serum concentrations similar to those observed in younger adults. This is due to the combination of a reduced volume of distribution and reduced renal clearance. The composition of the human body changes with aging producing an increase in body fat, a decrease in fat-free mass and a decrease in total body water. Lithium clearance decreases as the glomerular filtration rate decreases with increasing age. The effects of other medical conditions in the elderly on the pharmacokinetics of lithium are less well delineated. Reduced lithium clearance is expected in patients with hypertension, congestive heart failure or renal dysfunction. Larger lithium maintenance doses are required in obese compared with non-obese patients. The most clinically significant pharmacokinetic drug interactions associated with lithium involve drugs which are commonly used in the elderly. Thiazide diuretics, ACE inhibitors, and nonsteroidal anti-inflammatory drugs can increase serum lithium concentrations. The tolerability of lithium is lower in the elderly. Neurotoxicity clearly occurs in the elderly at concentrations considered 'therapeutic' in general adult populations. There are no placebo-controlled randomised trials of lithium in old age and recommendations for clinical use are based on extrapolations from pharmacokinetic studies, anecdotal reports from mixed age populations and clinical experience in old age psychiatry. Serum concentrations of lithium need to be markedly reduced in the elderly population and particularly so in the very old and frail elderly.

Dose-response evaluation of the interaction between sertraline and alprazolam in vivo.

In vitro data show the inhibition of alprazolam metabolism by sertraline via CYP3A4; therefore, using a randomized, double-blind, placebo-controlled design, the authors conducted this study to assess the potential for similar in vivo inhibition in humans. Ten healthy volunteers participated in two test sessions (placebo/alprazolam 1 mg orally) before the initiation of sertraline treatment. Blood samples were obtained over a 32-hour period and pharmacodynamic measures (sedation, psychomotor performance, memory function) were obtained over an 8-hour period. After a minimum of 2 weeks of daily sertraline self-administration (50, 100, or 150 mg/day), test sessions were repeated. Alprazolam concentrations (N = 6, 4, and 6 at sertraline doses of 50, 100, and 150 mg/day, respectively) showed no significant changes based on peak concentration (Cmax), time to maximum concentration (Tmax), elimination half-life (t1/2[beta]), and area under the concentration-time curve (AUC(0-8)), with the exception of a reduced Cmax in the 50 mg/day group. Similarly, dynamic data showed no significant variations based on peak effect, Tmax, and AUC(0-infinity), with the exception of increased peak impairment in one measure of psychomotor performance. No differences were detected between placebo alone and placebo plus sertraline. These findings suggest that sertraline (50-150 mg/day) does not alter the single-dose kinetics or dynamics of alprazolam; therefore, the combination may be prescribed without an increased risk of alprazolam toxicity.

The use of non-prescription sleep products in the elderly.

UNLABELLED: While sleep disorders are common in the elderly, the use of non-prescription products for sleep in this population has not been fully evaluated. The objectives of this project were to assess the use, perceived effectiveness and toxicity of non-prescription sleep products in an ambulatory elderly population. METHODS: A self-administered 20-question survey was distributed to seniors, aged 60 years or more, during hospital or pharmacy visits. RESULTS: Of the total respondents (N=176, mean age 74+/-7 years, 59% female), 84 (48%) indicated that they had used one or more therapies for sleep within the past year. These included non-prescription products (50% of therapies), prescription products (17%) and non-drug activities such as walking or drinking milk (34%). For those individuals who had used a non-prescription product in the past year (N=47, 27% of total respondents), the most frequently used products were: dimenhydrinate (21%), acetaminophen (19%), diphenhydramine (15%), alcohol (13%) and herbal products (11%). Most took them at least 1 day per week (79%) and 32% took them daily. These products subjectively improved sleep latency (mean 32 vs 61 minutes, p<0.001), number of nocturnal awakenings (mean 2 vs 3 awakenings, p<0.001) and total hours of sleep (mean 6.6 vs 5.4 hours, p<0.001). Mild side-effects were reported by 35 respondents (75%), the most common being dry mouth (N=22) and daytime drowsiness (N=13). Respondents were taking an average of four (SD+/-3, range 0-10) other medications currently. CONCLUSIONS: Non-prescription products are widely used by this population of ambulatory elderly for sleep disturbances. Most of the products were not marketed for sleep; however, they were perceived to be efficacious with low toxicity. The potential for drug interaction is high. Further research is warranted to evaluate the safety and effectiveness of non-prescription sleep products in the elderly.

Metabolic interactions of central nervous system medications and selective serotonin reuptake inhibitors.

Selective serotonin reuptake inhibitors (SSRIs) are prescribed alone and in combination with other psychotropic medications in the treatment of a variety of psychiatric disorders. Such combinations create the potential for pharmacokinetic interactions by affecting the activity of the cytochromes P450 (CYP450), drug metabolizing oxidative enzymes. SSRIs are not equivalent in their potential for interactions when combined with other central nervous system (CNS) medication. Generally citalopram and sertraline are characterized by weaker inhibition of CYP450 enzymes and, therefore, hold less potential for interaction than the other SSRIs. Paroxetine potently inhibits CYP2D6, which can result in increased neuroleptic serum concentrations, accompanied by increased CNS side-effects. Similarly, as a potent inhibitor of CYP2D6, fluoxetine can increase serum concentrations of neuroleptics and antidepressants and numerous case reports have documented concomitant adverse events. Fluoxetine also inhibits CYP3A and CYP2C19, increasing serum concentrations of some benzodiazepines. Fluvoxamine is a potent inhibitor of CYP1A2, a moderate inhibitor of CYP3A and a mild inhibitor of CYP2D6. Therefore, interactions with clozapine and benzodiazepines are evident.

Characteristics of dependent and nondependent regular users of codeine.

Although codeine is a widely used medication, the problems of codeine abuse and dependence have not been well-studied. This study characterized regular codeine users (using at least 3 days per week for 6 months, excluding those using codeine for the treatment of cancer pain) through a self-completed questionnaire. Recruitment through newspaper advertisements resulted in a total of 339 eligible questionnaires. Thirty-seven percent of subjects met DSM-IV criteria for codeine dependence. Dependent subjects (mean age, 40 +/- 10 years) were using an average of 179 (+/-171) mg of codeine per day. Codeine was predominantly used in the form of combination products with acetaminophen. Dependent subjects identified specific problems causally related to their codeine use such as depression (23%), anxiety (21%), and gastrointestinal disturbances (13%). The dependent subjects reported problems with other drugs more than did nondependent users (alcohol, 57% vs. 26%; cannabis, 23% vs. 5%; sedative/hypnotics, 33% vs. 12%; and heroin, 11% vs. 2%, respectively). Most were taking codeine primarily for a chronic pain problem (81%), although the dependent subjects currently found codeine less effective for treating pain than did the nondependent subjects and were more likely to use codeine for pleasurable effects, to relax, or to prevent withdrawal symptoms. This study showed that dependence is associated with the regular use of codeine. Pain is a key issue with these users; however, they are probably not receiving optimal treatment. There is a need to identify individuals experiencing problems with their codeine use and to develop optimal prevention and treatment strategies.

Long-term codeine use is associated with depressive symptoms.

A community survey was conducted among long-term (>6 months) users of codeine-containing products to characterize chronic use of these extensively consumed medications. Respondents recruited through newspaper advertisements completed a mailed questionnaire. Three hundred thirty-nine completed questionnaires were obtained, yielding a response rate of 70%. Codeine dependence/abuse as defined by DSM-IV criteria was present in 41% of the respondents. Two thirds of the subjects had sought help for mental health problems, most often depression (70%). Scores on the Symptom Checklist-90 subscales were modestly elevated, particularly on the Depression subscale (1.2 +/- 0.9). Long-term codeine use is strongly associated with dependence. Depression and depressive symptoms are common. These data suggest that dysphoric mood states may be significant in maintaining long-term codeine use.

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.

CYP2D6 inhibition in patients treated with sertraline.

Sertraline, a selective serotonin reuptake inhibitor used to treat depression, inhibits CYP2D6 in vitro (Ki = 1.2 microM) less potently than fluoxetine (Ki = 0.15 microM). To determine the extent and time course of CYP2D6 inhibition in patients, six males (mean age: 40 years, range: 29-64 years), who were starting treatment for depression with sertraline, were phenotyped on five occasions (once before treatment and approximately 3, 7, 14, and 21 days later). Phenotype status was determined using oral dextromethorphan (30 mg) by calculating the urinary ratio of O-demethylated metabolites to parent drug (i.e., log ODMR). CYP2D6 genotype was determined by leukocyte DNA analysis using polymerase chain reaction amplification. Compliance was confirmed by sertraline plasma levels. Daily sertraline dosages ranged from 50 to 150 mg. Genotype results indicated all subjects were extensive metabolizers (four homozygous wild type [wt], two heterozygous wt/B mutation). Phenotype results showed that CYP2D6 inhibition in patients treated with sertraline appeared to be related to baseline CYP2D6 activity and sertraline dosage. Some patients with high CYP2D6 activity can demonstrate inhibition with sertraline dosages as low as 50 mg.

Selective serotonin reuptake inhibitors and CNS drug interactions. A critical review of the evidence.

The potential for drug-drug interactions in psychiatric patients is very high as combination psychopharmacotherapy used to treat comorbid psychiatric disorders, to treat the adverse effects of a medication, to augment a medication effect or to treat concomitant medical illnesses. Interactions can be pharmacodynamic or pharmacokinetic in nature. This paper focuses on the metabolic kinetic interactions between selective serotonin reuptake inhibitors (SSRIs) and other central nervous system (CNS) drugs. The evidence for and clinical significance of these interactions are reviewed, with special emphasis on antipsychotics, tricyclic antidepressants and benzodiazepines. Many psychotropic medications have an affinity for the cytochrome P450 (CYP) enzymes which promote elimination by transforming lipid soluble substances into more polar compounds. SSRIs serve both as substrates and inhibitors of these enzymes. In vitro studies provide a screening method for evaluating drug affinities for substrates, inhibitors or inducers of CYP enzymes. Although in vitro data are important as a starting point for predicting these metabolic kinetic drug interactions, case reports and controlled experimental studies in humans are required to fully evaluate their clinical significance. Several factors must be considered when evaluating the clinical significance of a potential interaction including: (a) the nature of each drugs' activity at an enzyme site (substrate, inhibitor or inducer); (b) the potency estimations for the inhibitor/inducer; (c) the concentration of the inhibitor/inducer at the enzyme site; (d) the saturability of the enzyme; (e) the extent of metabolism of the substrate through this enzyme (versus alternative metabolic routes); (f) the presence of active metabolites of the substrate; (g) the therapeutic window of the substrate; (h) the inherent enzyme activity of the individual, phenotyping/genotyping information; (i) the level of risk of the individual experiencing adverse effects (e.g. the elderly) and (j) from an epidemiological perspective, the probability of concurrent use. This paper systematically reviews both the in vitro and in vivo evidence for drug interactions between SSRIs and other CNS drugs. As potent inhibitors of CYP2D6, both paroxetine and fluoxetine have the potential to increase the plasma concentrations of antipsychotic medications metabolised through this enzyme, including perphenazine, haloperidol, thioridazine and risperidone in patients who are CYP2D6 extensive metabolisers. Controlled studies have demonstrated this for perphenazine with paroxetine and haloperidol with fluoxetine. Fluvoxamine, as a potent inhibitor of CYP1A2, can inhibit the metabolism of clozapine, resulting in higher plasma concentrations. Drug interactions between the SSRIs and tricyclic antidepressants (TCAs) can occur. Fluoxetine and paroxetine, as potent inhibitors of CYP2D6, can increase the plasma concentrations of secondary and tertiary tricyclic antidepressants. Sertraline and citalopram are less likely to have this effect. Fluvoxamine can increase the plasma concentrations of tertiary TCAs. Fluvoxamine inhibits, via CYP3A. CYP2C19 and CYP1A2, the metabolism of several benzodiazepines, including alprazolam, bromazepam and diazepam. Fluoxetine increases the plasma concentrations of alprazolam and diazepam by inhibiting CYP3A and CYP2C19, respectively. The clinical importance of the interaction with diazepam is attenuated by the presence of its active metabolite. Sertraline inhibits these enzymes only mildely to moderately at usual therapeutic doses. Therefore the potential for interactions is less; however, the in vivo evidence is minimal. Paroxetine and citalopram are unlikely to cause interactions with benzodiazepines. The evidence is conflicting for an interaction between carbamazepine and the SSRIs fluoxetine and fluvoxamine. These combinations should be used cautiously, and be accompanied by monitoring for adverse events and carb

Inhibition of human cytochrome P450 2D6 (CYP2D6) by methadone.

1. In microsomes prepared from three human livers, methadone competitively inhibited the O-demethylation of dextromethorphan, a marker substrate for CYP2D6. The apparent Ki value of methadone ranged from 2.5 to 5 microM. 2. Two hundred and fifty-two (252) white Caucasians, including 210 unrelated healthy volunteers and 42 opiate abusers undergoing treatment with methadone were phenotyped using dextromethorphan as the marker drug. Although the frequency of poor metabolizers was similar in both groups, the extensive metabolizers among the opiate abusers tended to have higher O-demethylation metabolic ratios and to excrete less of the dose as dextromethorphan metabolites than control extensive metabolizer subjects. These data suggest inhibition of CYP2D6 by methadone in vivo as well. 3. Because methadone is widely used in the treatment of opiate abuse, inhibition of CYP2D6 activity in these patients might contribute to exaggerated response or unexpected toxicity from drugs that are substrates of this enzyme.