Acute pain intensity monitoring with the classification of multiple physiological parameters.

Current acute pain intensity assessment tools are mainly based on self-reporting by patients, which is impractical for non-communicative, sedated or critically ill patients. In previous studies, various physiological signals have been observed qualitatively as a potential pain intensity index. On the basis of that, this study aims at developing a continuous pain monitoring method with the classification of multiple physiological parameters. Heart rate (HR), breath rate (BR), galvanic skin response (GSR) and facial surface electromyogram were collected from 30 healthy volunteers under thermal and electrical pain stimuli. The collected samples were labelled as no pain, mild pain or moderate/severe pain based on a self-reported visual analogue scale. The patterns of these three classes were first observed from the distribution of the 13 processed physiological parameters. Then, artificial neural network classifiers were trained, validated and tested with the physiological parameters. The average classification accuracy was 70.6%. The same method was applied to the medians of each class in each test and accuracy was improved to 83.3%. With facial electromyogram, the adaptivity of this method to a new subject was improved as the recognition accuracy of moderate/severe pain in leave-one-subject-out cross-validation was promoted from 74.9 ± 21.0 to 76.3 ± 18.1%. Among healthy volunteers, GSR, HR and BR were better correlated to pain intensity variations than facial muscle activities. The classification of multiple accessible physiological parameters can potentially provide a way to differentiate among no, mild and moderate/severe acute experimental pain.

Voriconazole greatly increases the exposure to oral buprenorphine.

PURPOSE: Buprenorphine has low oral bioavailability. Regardless of sublingual administration, a notable part of buprenorphine is exposed to extensive first-pass metabolism by the cytochrome P450 (CYP) 3A4. As drug interaction studies with buprenorphine are limited, we wanted to investigate the effect of voriconazole, a strong CYP3A4 inhibitor, on the pharmacokinetics and pharmacodynamics of oral buprenorphine. METHODS: Twelve healthy volunteers were given either placebo or voriconazole (orally, 400 mg twice on day 1 and 200 mg twice on days 2-5) for 5 days in a randomized, cross-over study. On day 5, they ingested 0.2 mg (3.6 mg during placebo phase) oral buprenorphine. We measured plasma and urine concentrations of buprenorphine and norbuprenorphine and monitored their pharmacological effects. Pharmacokinetic parameters were normalized for a buprenorphine dose of 1.0 mg. RESULTS: Voriconazole greatly increased the mean area under the plasma concentration-time curve (AUC0-18) of buprenorphine (4.3-fold, P < 0.001), its peak concentration (Cmax) (3.9-fold), half-life (P < 0.05), and excretion into urine (Ae; P < 0.001). Voriconazole also markedly enhanced the Cmax (P < 0.001), AUC0-18 (P < 0.001), and Ae (P < 0.05) of unconjugated norbuprenorphine but decreased its renal clearance (P < 0.001). Mild dizziness and nausea occurred during both study phases. CONCLUSIONS: Voriconazole greatly increases exposure to oral buprenorphine, mainly by inhibiting intestinal and liver CYP3A4. Effect on some transporters may explain elevated norbuprenorphine concentrations. Although oral buprenorphine is not commonly used, this interaction may become relevant in patients receiving sublingual buprenorphine together with voriconazole or other CYP3A4 or transporter inhibitors.

Voriconazole more likely than posaconazole increases plasma exposure to sublingual buprenorphine causing a risk of a clinically important interaction.

PURPOSE: This study aimed to determine possible effects of voriconazole and posaconazole on the pharmacokinetics and pharmacological effects of sublingual buprenorphine. METHODS: We used a randomized, placebo-controlled crossover study design with 12 healthy male volunteers. Subjects were given a dose of 0.4 mg (0.6 mg during placebo phase) sublingual buprenorphine after a 5-day oral pretreatment with either (i) placebo, (ii) voriconazole 400 mg twice daily on the first day and 200 mg twice daily thereafter or (iii) posaconazole 400 mg twice daily. Plasma and urine concentrations of buprenorphine and its primary active metabolite norbuprenorphine were monitored over 18 h and pharmacological effects were measured. RESULTS: Compared to placebo, voriconazole increased the mean area under the plasma concentration-time curve (AUC0-∞) of buprenorphine 1.80-fold (90 % confidence interval 1.45-2.24; P < 0.001), its peak concentration (Cmax) 1.37-fold (P < 0.013) and half-life (t ½ ) 1.37-fold (P < 0.001). Posaconazole increased the AUC00-∞ of buprenorphine 1.25-fold (P < 0.001). Most of the plasma norbuprenorphine concentrations were below the limit of quantification (0.05 ng/ml). Voriconazole, unlike posaconazole, increased the urinary excretion of norbuprenorphine 1.58-fold (90 % confidence interval 1.18-2.12; P < 0.001) but there was no quantifiable parent buprenorphine in urine. Plasma buprenorphine concentrations correlated with the pharmacological effects, but the effects did not differ significantly between the phases. CONCLUSIONS: Voriconazole, and to a minor extent posaconazole, increase plasma exposure to sublingual buprenorphine, probably via inhibition of cytochrome P450 3 A and/or P-glycoprotein. Care should be exercised in the combined use of buprenorphine with triazole antimycotics, particularly with voriconazole, because their interaction can be of clinical importance.

[Update on current care guidelines. Pain]. / KÄYPÄ HOITO -SUOSITUS (Tiivistelmä). Kipu.

Management of patients suffering from chronic pain is based on long-term therapeutic relationship. The main objectives of the treatment are pain relief, restoration of function and improvement of quality of life. Interventions for treatment and rehabilitation need to be planned in agreement with the patient. Non-pharmaceutical interventions form the basics of the treatment. If medication is needed, it should be tailored to meet the individual needs of the patient according to the etiology and intensity of pain, comorbidities and psychosocial situation.

Effects of terbinafine and itraconazole on the pharmacokinetics of orally administered tramadol.

BACKGROUND: Tramadol is widely used for acute, chronic, and neuropathic pain. Its primary active metabolite is O-desmethyltramadol (M1), which is mainly accountable for the µ-opioid receptor-related analgesic effect. Tramadol is metabolized to M1 mainly by cytochrome P450 (CYP)2D6 enzyme and to other metabolites by CYP3A4 and CYP2B6. We investigated the possible interaction of tramadol with the antifungal agents terbinafine (CYP2D6 inhibitor) and itraconazole (CYP3A4 inhibitor). METHODS: We used a randomized placebo-controlled crossover study design with 12 healthy subjects, of which 8 were extensive and 4 were ultrarapid CYP2D6 metabolizers. On the pretreatment day 4 with terbinafine (250 mg once daily), itraconazole (200 mg once daily) or placebo, subjects were given tramadol 50 mg orally. Plasma concentrations of tramadol and M1 were determined over 48 h and some pharmacodynamic effects over 12 h. Pharmacokinetic variables were calculated using standard non-compartmental methods. RESULTS: Terbinafine increased the area under plasma concentration-time curve (AUC0-∞) of tramadol by 115 % and decreased the AUC0-∞ of M1 by 64 % (P < 0.001). Terbinafine increased the peak concentration (C max) of tramadol by 53 % (P < 0.001) and decreased the C max of M1 by 79 % (P < 0.001). After terbinafine pretreatment the elimination half-life of tramadol and M1 were increased by 48 and 50 %, respectively (P < 0.001). Terbinafine reduced subjective drug effect of tramadol (P < 0.001). Itraconazole had minor effects on tramadol pharmacokinetics. CONCLUSIONS: Terbinafine may reduce the opioid effect of tramadol and increase the risk of its monoaminergic adverse effects. Itraconazole has no meaningful interaction with tramadol in subjects who have functional CYP2D6 enzyme.

[Can we prevent pain becoming chronic?]. / Voiko kivun kroonistumista ehkäistä?

Central aspects in the prevention of pain from becoming chronic are good management of acute pain, early recognition of risk factors and a multidisciplinary working approach. Postherpetic neuralgia can probably be prevented with a vaccine and medication. In the prevention of prolonged postoperative pains there is some evidence of the effect of local anesthetics and ketamine, but their clinical significance is unclear. Multidisciplinary therapeutic and rehabilitative actions can be taken to prevent prolongation and recurrence of lower back pain especially in patients having an increased risk of chronic pain.

Rifampicin markedly decreases the exposure to oral and intravenous tramadol.

PURPOSE: Tramadol is mainly metabolized by the cytochrome P450 (CYP) 2D6, CYP2B6 and CYP3A4 enzymes. The aim of this study was to evaluate the effect of enzyme induction with rifampicin on the pharmacokinetics and pharmacodynamics of oral and intravenous tramadol. METHODS: This was a randomized placebo-controlled crossover study design with 12 healthy subjects. After pretreatment for 5 days with rifampicin (600 mg once daily) or placebo, subjects were given tramadol either 50 mg intravenously or 100 mg orally. Plasma concentrations of tramadol and its active main metabolite O-desmethyltramadol (M1) were determined over 48 h. Analgesic and behavioral effects and whole blood 5-hydroxytryptamine (5-HT) and 5-hydroxyindoleacetic acid (5-HIAA) concentrations were measured. RESULTS: Rifampicin reduced the mean area under the time-concentration curve (AUC0-∞) of intravenously administered tramadol by 43 % and that of M1 by 58 % (P < 0.001); it reduced the AUC0-∞ of oral tramadol by 59 % and that of M1 by 54 % (P < 0.001). Rifampicin increased the clearance of intravenous tramadol by 67 % (P < 0.001). Bioavailability of oral tramadol was reduced by rifampicin from 66 to 49 % (P = 0.002). The pharmacological effects of tramadol or whole blood serotonin concentrations were not influenced by pretreatment with rifampicin. CONCLUSIONS: Rifampicin markedly decreased the exposure to tramadol and M1 after both oral and intravenous administration. Therefore, rifampicin and other potent enzyme inducers may have a clinically important interaction with tramadol regardless of the route of its administration.

Ticlopidine inhibits both O-demethylation and renal clearance of tramadol, increasing the exposure to it, but itraconazole has no marked effect on the ticlopidine-tramadol interaction.

PURPOSE: We assessed possible drug interactions of tramadol given concomitantly with the potent CYP2B6 inhibitor ticlopidine, alone or together with the potent CYP3A4 and P-glycoprotein inhibitor itraconazole. METHODS: In a randomized, placebo-controlled cross-over study, 12 healthy subjects ingested 50 mg of tramadol after 4 days of pretreatment with either placebo, ticlopidine (250 mg twice daily) or ticlopidine plus itraconazole (200 mg once daily). Plasma and urine concentrations of tramadol and its active metabolite O-desmethyltramadol (M1) were monitored over 48 h and 24 h, respectively. RESULTS: Ticlopidine increased the mean area under the plasma concentration-time curve (AUC0-∞) of tramadol by 2.0-fold (90 % confidence interval (CI) 1.6-2.4; p < 0.001) and Cmax by 1.4-fold (p < 0.001), and reduced its oral and renal clearance (p < 0.01). Ticlopidine reduced the AUC0-3 of M1 (p < 0.001) and the ratio of the AUC0-∞ of M1 to that of tramadol, but did not influence the AUC0-∞ of M1. Tramadol or M1 pharmacokinetics did not differ between the ticlopidine alone and ticlopidine plus itraconazole phases. CONCLUSIONS: Ticlopidine increased exposure to tramadol, reduced its renal clearance and inhibited the formation of M1, most likely via inhibition of CYP2B6 and/or CYP2D6. The addition of itraconazole to ticlopidine did not modify the outcome of the drug interaction. Concomitant clinical use of ticlopidine and tramadol may enhance the risk of serotonergic effects, especially when higher doses of tramadol are used.

S-ketamine concentrations are greatly increased by grapefruit juice.

PURPOSE: We examined the effect of grapefruit juice on the pharmacokinetics and pharmacodynamics of oral S-ketamine. METHODS: A randomized crossover open-label study design with two phases at an interval of 4 weeks was conducted in 12 healthy volunteers. Grapefruit juice or water was ingested 200 ml t.i.d. for 5 days. An oral dose of 0.2 mg/kg of S-ketamine was ingested on day 5 with 150 ml grapefruit juice or water. Plasma concentrations of ketamine and norketamine were determined for 24 h, and pharmacodynamic variables were recorded for 12 h. Noncompartmental methods were used to calculate pharmacokinetic parameters. RESULTS: Grapefruit juice increased the geometric mean value of the area under the plasma ketamine concentration-time curve(AUC0-∞) by 3.0-fold (range 2.4- to 3.6-fold; P<0.001), the peak plasma concentration (Cmax) by 2.1-fold (range 1.8- to 2.6-fold; P<0.001), and the elimination half-life by 24% (P<0.05) as compared to the water phase. The ratio of main metabolite norketamine to ketamine (AUCm/AUCp) was decreased by 57% (P<0.001) during the grapefruit phase.Self-rated relaxation was decreased (P<0.05) and the performance in the digit symbol substitution test was increased (P<0.05) after grapefruit juice, but other behavioral or analgesic effects were not affected. CONCLUSIONS: Grapefruit juice significantly increased the plasma concentrations of oral ketamine in healthy volunteers.Dose reductions of ketamine should be considered when using oral ketamine concomitantly with grapefruit juice.

Miconazole oral gel increases exposure to oral oxycodone by inhibition of CYP2D6 and CYP3A4.

Our aim was to assess the effect of miconazole oral gel on the pharmacokinetics of oral oxycodone. In an open crossover study with two phases, 12 healthy volunteers took a single oral dose of 10 mg of immediate-release oxycodone with or without thrice-daily 85-mg miconazole oral gel treatment. The plasma concentrations of oxycodone and its oxidative metabolites were measured for 48 h. Pharmacological effects of oxycodone were recorded for 12 h. Pharmacokinetic parameters were compared by use of the geometric mean ratios (GMRs) and their 90% confidence interval (CIs). Pretreatment with miconazole oral gel caused a strong inhibition of the CYP2D6-dependent metabolism and moderate inhibition of the CYP3A4-dependent metabolism of oxycodone. The mean area under the concentration-time curve (AUC) from time zero to infinity (AUC(0-∞); GMR, 1.63; 90% CI, 1.48 to 1.79) and the peak concentration of oxycodone (GMR, 1.31; 90% CI, 1.19 to 1.44) were increased. The AUC of the CYP2D6-dependent metabolite oxymorphone was greatly decreased (GMR, 0.17; 90% CI, 0.09 to 0.31) by miconazole gel, whereas that of the CYP3A4-dependent metabolite noroxycodone was increased (GMR, 1.30; 90% CI, 1.15 to 1.47) by miconazole gel. Differences in the pharmacological response to oxycodone between phases were insignificant. Miconazole oral gel increases the exposure to oral oxycodone, but the clinical relevance of the interaction is moderate. Miconazole oral gel produces a rather strong inhibitory effect on CYP2D6, which deserves further study.

Inhibition of cytochrome P450 3A by clarithromycin uniformly affects the pharmacokinetics and pharmacodynamics of oxycodone in young and elderly volunteers.

The aim of this study was to investigate the effect of the cytochrome P450 3A4 inhibitor clarithromycin on the pharmacokinetics and pharmacodynamics of oral oxycodone in young and elderly subjects. Ten young and 10 elderly healthy subjects participated in this placebo-controlled, randomized, 2-phase crossover study. Subjects took clarithromycin 500 mg or placebo twice daily for 5 days. On day 4, subjects ingested an oral dose of 10 mg oxycodone. Plasma concentrations of oxycodone and its oxidative metabolites were measured for 48 hours, and pharmacological response for 12 hours. Clarithromycin decreased the apparent clearance of oxycodone by 53% in young and 48% in elderly subjects (P < 0.001) and prolonged its elimination half-life. The mean area under the plasma concentration-time curve (AUC0-∞) of oxycodone was increased by 2.0-fold (range, 1.3-fold to 2.7-fold) (P < 0.001) in young and 2.3-fold (range, 1.1-fold to 3.8-fold) (P < 0.001) in elderly subjects. The formation of noroxycodone was decreased by 74% in young and 71% in elderly subjects (P < 0.001). The ratio of AUC0-∞ of oxycodone during the clarithromycin phase compared with the one with placebo did not differ between the age groups. Clarithromycin did not alter the pharmacological response to oxycodone. Clarithromycin increased the exposure to oral oxycodone, but the magnitude of this effect was not age related. Although the pharmacological response to oxycodone was not significantly influenced by clarithromycin, dose reductions may be necessary in the most sensitive patients to avoid adverse effects when oxycodone is used concomitantly with clarithromycin.

Effect of inhibition of cytochrome P450 enzymes 2D6 and 3A4 on the pharmacokinetics of intravenous oxycodone: a randomized, three-phase, crossover, placebo-controlled study.

BACKGROUND AND OBJECTIVE: Oxycodone is a µ-opioid receptor agonist that is mainly metabolized by hepatic cytochrome P450 (CYP) enzymes. Because CYP enzymes can be inhibited by other drugs, the pharmacokinetics of oxycodone are prone to drug interactions. The aim of this study was to determine whether inhibition of CYP2D6 alone by paroxetine or inhibition of both CYP2D6 and CYP3A4 by a combination of paroxetine and itraconazole alters the pharmacokinetics of and pharmacological response to intravenous oxycodone. METHODS: We used a randomized, three-phase, crossover, placebo-controlled study design in 12 healthy subjects. The subjects were given 0.1 mg/kg of intravenous oxycodone after pre-treatments with placebo, paroxetine or a combination of paroxetine and itraconazole for 4 days. Plasma concentrations of oxycodone and its oxidative metabolites were measured over 48 hours, and pharmacokinetic and pharmacodynamic parameters subsequently evaluated. RESULTS: The effect of paroxetine on the plasma concentrations of oxycodone was negligible. The combination of paroxetine and itraconazole prolonged the mean elimination half-life of oxycodone from 3.8 to 6.6 hours (p < 0.001), and increased the exposure to oxycodone 2-fold (p < 0.001). However, these changes were not reflected in pharmacological response. CONCLUSION: The results of this study indicate that there are no clinically relevant drug interactions with intravenous oxycodone and inhibitors of CYP2D6. If both oxidative metabolic pathways via CYP3A4 and 2D6 are inhibited the exposure to intravenous oxycodone increases substantially.

Machine learning suggests sleep as a core factor in chronic pain.

Patients with chronic pain have complex pain profiles and associated problems. Subgroup analysis can help identify key problems. We used a data-based approach to define pain phenotypes and their most relevant associated problems in 320 patients undergoing tertiary pain management. Unsupervised machine learning analysis of parameters "pain intensity," "number of pain areas," "pain duration," "activity pain interference," and "affective pain interference," implemented as emergent self-organizing maps, identified 3 patient phenotype clusters. Supervised analyses, implemented as different types of decision rules, identified "affective pain interference" and the "number of pain areas" as most relevant for cluster assignment. These appeared 698 and 637 times, respectively, in 1000 cross-validation runs among the most relevant characteristics in an item categorization approach in a computed ABC analysis. Cluster assignment was achieved with a median balanced accuracy of 79.9%, a sensitivity of 74.1%, and a specificity of 87.7%. In addition, among 59 demographic, pain etiology, comorbidity, lifestyle, psychological, and treatment-related variables, sleep problems appeared 638 and 439 times among the most important characteristics in 1000 cross-validation runs where patients were assigned to the 2 extreme pain phenotype clusters. Also important were the parameters "fear of pain," "self-rated poor health," and "systolic blood pressure." Decision trees trained with this information assigned patients to the extreme pain phenotype with an accuracy of 67%. Machine learning suggested sleep problems as key factors in the most difficult pain presentations, therefore deserving priority in the treatment of chronic pain.

Exposure to oral oxycodone is increased by concomitant inhibition of CYP2D6 and 3A4 pathways, but not by inhibition of CYP2D6 alone.

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT: Oxycodone is an opioid analgesic that is metabolized mainly in the liver by cytochrome P450 (CYP) 2D6 and 3A4 enzymes. So far, the effects of CYP2D6 or CYP3A4 inhibitors on the pharmacokinetics of oxycodone in humans have not been systematically studied. WHAT THIS STUDY ADDS: Drug interactions arising from CYP2D6 inhibition most likely have minor clinical importance for oral oxycodone. When both of CYP2D6 and CYP3A4 pathways are inhibited, the exposure to oral oxycodone is increased substantially. AIM: The aim of this study was to find out whether the inhibition of cytochrome P450 2D6 (CYP2D6) with paroxetine or concomitant inhibition of CYP2D6 and CYP3A4 with paroxetine and itraconazole, altered the pharmacokinetics and pharmacological response of orally administered oxycodone. METHODS: A randomized placebo-controlled cross-over study design with three phases was used. Eleven healthy subjects ingested 10 mg of oral immediate release oxycodone on the fourth day of pre-treatment with either placebo, paroxetine (20 mg once daily) or paroxetine (20 mg once daily) and itraconazole (200 mg once daily) for 5 days. The plasma concentrations of oxycodone and its oxidative metabolites were measured for 48 h, and pharmacological (analgesic and behavioural) effects were evaluated. RESULTS: Paroxetine alone reduced the area under concentration-time curve (AUC(0,0-48 h)) of the CYP2D6 dependent metabolite oxymorphone by 44% (P < 0.05), but had no significant effects on the plasma concentrations of oxycodone or its pharmacological effects when compared with the placebo phase. When both oxidative pathways of the metabolism of oxycodone were inhibited with paroxetine and itraconazole, the mean AUC(0,infinity) of oxycodone increased by 2.9-fold (P < 0.001), and its C(max) by 1.8-fold (P < 0.001). Visual analogue scores for subjective drug effects, drowsiness and deterioration of performance were slightly increased (P < 0.05) after paroxetine + itraconazole pre-treatment when compared with placebo. CONCLUSIONS: Drug interactions arising from CYP2D6 inhibition most likely have minor clinical importance for oral oxycodone if the function of the CYP3A4 pathway is normal. When both CYP2D6 and CYP3A4 pathways are inhibited, the exposure to oral oxycodone is increased substantially.

Oxycodone concentrations are greatly increased by the concomitant use of ritonavir or lopinavir/ritonavir.

PURPOSE: this study aimed to investigate the effect of antivirals ritonavir and lopinavir/ritonavir on the pharmacokinetics and pharmacodynamics of oral oxycodone, a widely used opioid receptor agonist used in the treatment of moderate to severe pain. METHODS: a randomized crossover study design with three phases at intervals of 4 weeks was conducted in 12 healthy volunteers. Ritonavir 300 mg, lopinavir/ritonavir 400/100 mg, or placebo b.i.d. for 4 days was given to the subjects. On day 3, 10 mg oxycodone hydrochloride was administered orally. Plasma concentrations of oxycodone, noroxycodone, oxymorphone, and noroxymorphone were determined for 48 h. Pharmacokinetic parameters were calculated with standard noncompartmental methods. Behavioral effects and experimental cold pain analgesia were assessed for 12 h. ANOVA for repeated measures was used for statistical analysis. RESULTS: ritonavir and lopinavir/ritonavir increased the area under the plasma concentration-time curve of oral oxycodone by 3.0-fold (range 1.9- to 4.3-fold; P <0.001) and 2.6-fold (range 1.9- to 3.3-fold; P <0.001). The mean (± SD) elimination half-life increased after ritonavir and lopinavir/ritonavir from 3.6 ± 0.6 to 5.6 ± 0.9 h (P <0.001) and 5.7 ± 0.9 h (P <0.001), respectively. Both ritonavir (P <0.001) and lopinavir/ritonavir (P <0.05) increased the self-reported drug effect of oxycodone. CONCLUSIONS: ritonavir and lopinavir/ritonavir greatly increase the plasma concentrations of oral oxycodone in healthy volunteers and enhance its effect. When oxycodone is used clinically in patients during ritonavir and lopinavir/ritonavir treatment, reductions in oxycodone dose may be needed to avoid opioid-related adverse effects.

Effects of itraconazole on the pharmacokinetics and pharmacodynamics of intravenously and orally administered oxycodone.

BACKGROUND: The aim of this study was to investigate the effects of the cytochrome P450 3A4 (CYP34A) inhibitor itraconazole on the pharmacokinetics and pharmacodynamics of orally and intravenously administered oxycodone. METHODS: Twelve healthy subjects were administered 200 mg itraconazole or placebo orally for 5 days in a four-session paired cross-over study. On day 4, oxycodone was administered intravenously (0.1 mg/kg) in the first part of the study and orally (10 mg) in the second part. Plasma concentrations of oxycodone and its oxidative metabolites were measured for 48 h, and pharmacodynamic effects were evaluated. RESULTS: Itraconazole decreased plasma clearance (Cl) and increased the area under the plasma concentration-time curve (AUC0-infinity) of intravenous oxycodone by 32 and 51%, respectively (P<0.001) and increased the AUC(0-infinity) of orally administrated oxycodone by 144% (P<0.001). Most of the pharmacokinetic changes in oral oxycodone were seen in the elimination phase, with modest effects by itraconazole on its peak concentration, which was increased by 45% (P=0.009). The AUC(0-48) of noroxycodone was decreased by 49% (P<0.001) and that of oxymorphone was increased by 359% (P<0.001) after the administration of oral oxycodone. The pharmacologic effects of oxycodone were enhanced by itraconazole only modestly. CONCLUSIONS: Itraconazole increased the exposure to oxycodone by inhibiting its CYP3A4-mediated N-demethylation. The clinical use of itraconazole in patients receiving multiple doses of oxycodone for pain relief may increase the risk of opioid-associated adverse effects.

Measurement of central mu-opioid receptor binding in vivo with PET and [11C]carfentanil: a test-retest study in healthy subjects.

PURPOSE: [(11)C]Carfentanil has been widely used in positron emission tomography (PET) studies for measuring micro-opioid receptor binding in humans, but the reproducibility of the binding parameter estimates is unknown. MATERIALS AND METHODS: Eight healthy volunteers were scanned twice during the same day with [(11)C]carfentanil PET, and binding to receptors was assessed with both reference tissue and arterial plasma input-based models using region of interest (ROI) and voxel-based quantification. RESULTS: The two-tissue compartmental model distribution volume (V(T)) was highly reproducible as indicated by low variability (VAR < 6%) and high intraclass correlation coefficients (ICC > 0.93). BP(ND) (BP relative to the nondisplaceable tissue compartment) was also highly reproducible (VAR < 10%, ICC > 0.90) both at ROI- and voxel-level, and reference tissue-based models provided stable estimates after 40 min. CONCLUSIONS: The reproducibility of [(11)C]carfentanil binding parameter estimates is excellent with outcome measures based on both arterial plasma and reference tissue input, and a scanning time of 40 min appears sufficient.

The effects of d-amphetamine on extrastriatal dopamine D2/D3 receptors: a randomized, double-blind, placebo-controlled PET study with [11C]FLB 457 in healthy subjects.

PURPOSE: The dopamine D(2)/D(3) receptor ligand [(11)C]FLB 457 and PET enable quantification of low-density extrastriatal D(2)/D(3) receptors, but it is uncertain whether [(11)C]FLB 457 can be used for measuring extrastriatal dopamine release. METHODS: We studied the effects of d-amphetamine (0.3 mg/kg i.v.) on extrastriatal [(11)C]FLB 457 binding potential (BP(ND)) in a randomized, double-blind, placebo-controlled study including 24 healthy volunteers. RESULTS: The effects of d-amphetamine on [(11)C]FLB 457 BP(ND) and distribution volume (V(T)) in the frontal cortex were not different from those of placebo. Small decreases in [(11)C]FLB 457 BP(ND) were observed only in the posterior cingulate and hippocampus. The regional changes in [(11)C]FLB 457 BP(ND) did not correlate with d-amphetamine-induced changes in subjective ratings of euphoria. CONCLUSION: This placebo-controlled study showed that d-amphetamine does not induce marked changes in measures of extrastriatal dopamine D(2)/D(3) receptor binding. Our results indicate that [(11)C]FLB 457 PET is not a useful method for measuring extrastriatal dopamine release in humans.

Rifampin greatly reduces the plasma concentrations of intravenous and oral oxycodone.

BACKGROUND: Oxycodone is a mu-opioid receptor agonist that is metabolized mainly in the liver by cytochrome P450 3A and 2D6 enzymes. Rifampin is a strong inducer of several drug-metabolizing enzymes. The authors studied the interaction of rifampin with oxycodone. Their hypothesis was that rifampin enhances the CYP3A-mediated metabolism of oxycodone and attenuates its pharmacologic effect. METHODS: The protocol was a four-session, paired crossover. Twelve volunteers were given 600 mg oral rifampin or placebo once daily for 7 days. Oxycodone was given on day 6. In the first part of the study, 0.1 mg/kg oxycodone hydrochloride was given intravenously. In the second part of the study, 15 mg oxycodone hydrochloride was given orally. Concentrations of oxycodone and its metabolites noroxycodone, oxymorphone, and noroxymorphone were determined for 48 h. Psychomotor effects were characterized for 12 h by several visual analog scales. Analgesic effects were characterized by measuring the heat pain threshold and cold pain sensitivity. RESULTS: Rifampin decreased the area under the oxycodone concentration-time curve of intravenous and oral oxycodone by 53% and 86%, respectively (P < 0.001). Oral bioavailability of oxycodone was decreased from 69% to 21% (P < 0.001). Rifampin greatly increased the plasma metabolite-to-parent drug ratios for noroxycodone and noroxymorphone (P < 0.001). Pharmacologic effects of oral oxycodone were attenuated. CONCLUSIONS: Induction of cytochrome P450 3A by rifampin reduced the area under the oxycodone concentration-time curve of intravenous and oral oxycodone. The pharmacologic effects of oxycodone were modestly attenuated. To maintain adequate analgesia, dose adjustment of oxycodone may be necessary, when used concomitantly with rifampin.

Differential associations between brain 5-HT(1A) receptor binding and response to pain versus touch.

We studied whether brain serotonin 5-HT(1A) receptor availability is associated with response to noxious heat versus tactile stimuli, and short-term memory for heat pain. Psychophysical performance was assessed in 16 healthy subjects who had participated in a positron emission tomography study using [carbonyl-11C]WAY-100635 ligand for the assessment of 5-HT(1A) receptor binding potential (BP (ND)). Signal detection theory was applied to allow separate analysis of the subject's sensory-discriminative capacity (sensory factor) and the attitude toward reporting a sensation (response criterion; non-sensory factor). Subject's response criterion for heat pain was inversely correlated with 5-HT(1A) BP (ND) in the dorsal raphe, middle temporal gyrus, orbitofrontal cortex and posterior cingulum, whereas the subject's discriminative capacity for touch was inversely correlated with 5-HT(1A) BP (ND) in the cingulum, inferior temporal gyrus, and medial prefrontal cortex. Certainty ratings of the responses, but not hit rates, in the pain memory task were correlated with 5-HT(1A) BP (ND) in the dorsal raphe.