Ovicidal activity of diaryl dichalcogenides and ivermectin on Fasciola hepatica: A novel candidate for a blending-based therapeutic strategy.

Fasciolosis is a food and waterborne disease caused by Fasciola spp., representing a global health burden to various hosts, including humans and other animals. This study investigates the in vitro activity of tellurium- and selenium-containing diaryl dichalcogenides: diacetal ditelluride (LQ07), diacetal diselenide (LQ62), and diacetyl diselenide (LQ68) alone and in combination with ivermectin (IVM) against eggs of Fasciola hepatica. The eggs were exposed for 12 h with each organochalcogen (OC) (0.1 - 2 mmol l-1) and IVM (0.01 - 2 mmol l-1) following an incubation of 15 days, allowing embryonation. The inhibitory concentration of 50 % (IC50) of each OC or IVM was tested with the IC10, IC30, and IC50 of IVM or each OC, respectively. LQ07, LQ62, and LQ68, as well as IVM, demonstrated a concentration-dependent ovicidal activity. The peak ovicidal activity of 99.74 % was achieved when IVM was tested at 2.0 mmol l-1. LQ62 and LQ68 demonstrated greater ovicidal activity, having an IC50 < 0.32 mmol l-1 being 6.25-fold more toxic than IVM alone. The percentage of dead eggs was significantly higher in the IVM group (early mortality), as Se-containing OCs led to the (miracidia) embryonation of the eggs with no hatching (late mortality). Blending Se-containing OCs and IVM showed an additive effect of up to 27 % against F. hepatica eggs. The present data contribute to the potential use of blending-based therapeutic strategies to combat F. hepatica infections in eradication programs worldwide. The combinations may also act against multidrug-resistant strains, reinstating drug-based parasite control.

Improving Drug-Drug Interaction Extraction with Gaussian Noise.

Drug-Drug Interactions (DDIs) produce essential and valuable insights for healthcare professionals, since they provide data on the impact of concurrent administration of medications to patients during therapy. In that sense, some relevant works, related to the DDIExtraction2013 Challenge, are available in the current technical literature. This study aims to improve previous results, using two models, where a Gaussian noise layer is added to achieve better DDI relationship extraction. (1) A Piecewise Convolutional Neural Network (PW-CNN) model is used to capture relationships among pharmacological entities described in biomedical databases. Additionally, the model incorporates multichannel words to enrich a person's vocabulary and reduce unfamiliar words. (2) The model uses the pre-trained BERT language model to classify relationships, while also integrating data from the target entities. After identifying the target entities, the model transfers the relevant information through the pre-trained architecture and integrates the encoded data for both entities. The results of the experiment show an improved performance, with respect to previous models.

Phytochemicals in Gastrointestinal Nematode Control: Pharmacokinetic-Pharmacodynamic Evaluation of the Ivermectin plus Carvone Combination.

A wide variety of plant-derived phytochemicals with anthelmintic effects have been described. Most of them have shown activity against parasites in vitro but have not been extensively explored in vivo. The aim of the current work was to study the pharmacokinetic-pharmacodynamic relationship of the combined administration of carvone (R-CNE) and ivermectin (IVM) to lambs. Three trials were conducted to evaluate the pharmacological interaction between R-CNE and IVM in lambs infected with resistant nematodes. Drug concentrations were measured in plasma, target tissues, and H. contortus by HPLC with fluorescent (IVM) and ultraviolet (R-CNE) detection. The effect of both compounds on parasites was estimated by the fecal egg count reduction. Coadministration with R-CNE significantly increased the plasma bioavailability of IVM. R-CNE showed a moderate anthelmintic effect, which was greater on the susceptible isolate of H. contortus. After the combination of R-CNE and IVM as an oral emulsion, both compounds were quantified in H. contortus recovered from infected lambs. However, R-CNE concentrations were much lower than those reported to achieve anthelmintic effects in the in vitro assays. Optimization of the pharmaceutical formulation, dose rate, and administration schedule is needed to take advantage of the intrinsic anthelmintic activity of phytochemicals.

Development and Implementation of the Hdc.DrApp.la and SIMDA Programs to Reduce Polypharmacy and Drug-drug Interactions in Patients Hospitalized in Internal Medicine.

OBJECTIVES: We evaluated polypharmacy and possible drug-drug interactions (p-DDIs) in hospitalized patients before and after using the SIMDA Computerized Medical Decision Support System (CMDSS). MATERIALS AND METHODS: We included the prescriptions of ≥ 18 years hospitalized patients in the internal medicine department. We developed and implemented the Hdc.DrApp Physician Order Entry System and the CMDSS SIMDA, which detects p-DDIs and signals dosage adjustment based on renal function. To evaluate the impact of the CMDSS, we made a comparison Before (Survey) / After (Intervention): Survey between Oct/22/2019, and Mar/21/2020, and Intervention between Apr/4/2020 and Sep/3/2020. We analyze prescriptions from the first day and after the first day. We compared the number of drugs, polypharmacy (≥ 5 drugs), excessive polypharmacy (≥ 10 drugs), and p-DDIs. We evaluated differences with the X2 test, Yates correction, Fisher's exact test, ANOVA, and post hoc tests according to their characteristics. RESULTS: We evaluated 2,834 admissions: Survey 1,211 and Intervention 1,623. The number of drugs per patient was 6.02 (± 3.20) in Survey and 5.17 (± 3.22) in Intervention (p < 0.001) on the first day and 9.68 (± 5.60) in Survey and 7.22 (± 4.93) in Intervention (p < 0.001) throughout the hospitalization. Polypharmacy was present in 64% of the Survey and 53% of Interventions (RR: 0.83 (0.78-0.88); and excessive polypharmacy in 14% of the Survey and 10% of Intervention (RR: 0.73, 0.60-0.90). The frequency of total p-DDIs was 1.91/patient (± 4.11) in Survey and 0.35 (± 0.81) in the Intervention (p < 0.001). CONCLUSIONS: We developed and implemented the Hdc.DrApp and SIMDA systems that were easy to use and allowed us to quantify and reduce polypharmacy and p-DDIs.

Copper chloride and copper sulphate in combination with nitroxynil against gastrointestinal nematodes of ruminants: A possible hitchhiking synergic effect at low concentrations.

Infections caused by Haemonchus spp. and Trichostrongylus spp. are major health problems for sheep and cattle. The objective of this study was to determine the efficacy of copper chloride (CuCl2), and copper sulphate (CuSO4) at 2.0, 7.0, 30.0, 125.0, 500.0, and 2000.0 µM formulations, and nitroxynil 34% (NTX) at 0.235 mM against gastrointestinal nematodes (GINs) of ruminants. Hence, the in vitro egg hatch test (EHT), the larval development test (LDT), and the larval migration inhibition test (LMIT) were used. Haemonchus spp. (52%) and Trichostrongylus spp. (38%) were the most frequently found parasites. The data fitted a concentration-dependent shape with the highest efficacies of CuCl2 and CuSO4 at 95.2 and 97.3% for parasites collected from sheep, and 95.8 and 93.4% from cattle, respectively. The combination of the 50% inhibitory concentration (IC50) of CuCl2 and CuSO4 and the IC10 of NTX showed up to a 52% increase in efficacy above the expected additive results, demonstrating a synergic/drug enhancer interaction. NTX may retain Cu-II ions by complexation, in a hitchhiking mechanism carrying the salts across the parasite cell wall, causing oxidative stress as a consequence of free radical production and cell damage. Synergy data between NTX and CuCl2, and CuSO4 represent a viable opportunity to develop new formulations for combating parasites of ruminants (i.e., Fasciola hepatica, Haemonchus spp., and Oesophagostomum spp.).

Prediction of the Impact of CYP2C19 Polymorphism on Drug-Drug Interaction between Voriconazole and Tacrolimus Using Physiologically-Based Pharmacokinetic Modelling

Abstract Voriconazole increases tacrolimus blood concentration significantly when coadministrated. The recommendation of reducing tacrolimus to 1/3 in voriconazole package insert seems not to be satisfactory in clinical practice. In vitro studies demonstrated that the magnitude of inhibition depends on the concentration of voriconazole, while voriconazole exposure is determined by the genotype status of CYP2C19. CYP2C19 gene polymorphism challenges the management of drug-drug interactions(DDIs) between voriconazole and tacrolimus. This work aimed to predict the impact of CYP2C19 polymorphism on the DDIs by using physiologically based pharmacokinetics (PBPK) models. The precision of the developed voriconazole and tacrolimus models was reasonable by evaluating the pharmacokinetic parameters fold error, such as AUC0-24, Cmax and tmax. Voriconazole increased tacrolimus concentration immediately in all population. The simulated duration of DDIs disappearance after voriconazole withdrawal were 146h, 90h and 66h in poor metabolizers (PMs), intermediate metabolizers (IMs) and extensive metabolizers(EMs), respectively. The developed and optimized PBPK models in this study can be applied to assit the dose adjustment for tacrolimus with and without voriconazole.

Analysis of reported adverse liver reactions associated with drugs used to treat patients with coronavirus disease 2019

Abstract Hepatic injury has been documented in patients with coronavirus disease 2019 (COVID-19). However, pharmacotherapy can frequently impact liver alterations, given the known hepatotoxic potential of drugs not effective to treat COVID-19. The objective of the present study was to evaluate reports of suspected liver reactions to drugs used for treating COVID-19, compare their use for other indications among patients with COVID-19, and assess possible interactions between them. We obtained reports on drugs used to treat COVID-19 (tocilizumab, remdesivir, hydroxychloroquine, and/or lopinavir/ritonavir), registered on June 30, 2020, from the Food and Drug Administration Adverse Event Reporting System (FAERS) Public Dashboard. We then analyzed the risk of developing liver events with these drugs by calculating the reported odds ratios (ROR). We identified 662, 744, and 1381 reports related to tocilizumab, lopinavir/ ritonavir, and hydroxychloroquine use, respectively. The RORs (95% confidence intervals) were 6.32 (5.28-7.56), 6.12 (5.22-7.17), and 9.07 (8.00-10.29), respectively, demonstrating an increased risk of liver events among patients with COVID-19 when compared with uninfected patients. The elevated risk of reporting adverse liver events in patients with COVID-19 who receive these drugs, alone or in combination, highlights the need for careful drug selection and efforts to reduce drug combinations without notable benefits. Similar to any other condition, the use of drugs without established efficacy should be avoided.

How far are we from predicting multi-drug interactions during treatment for COVID-19 infection?

Seriously ill patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and hospitalized in intensive care units (ICUs) are commonly given a combination of drugs, a process known as multi-drug treatment. After extracting data on drug-drug interactions with clinical relevance from available online platforms, we hypothesize that an overall interaction map can be generated for all drugs administered. Furthermore, by combining this approach with simulations of cellular biochemical pathways, we may be able to explain the general clinical outcome. Finally, we postulate that by applying this strategy retrospectively to a cohort of patients hospitalized in ICU, a prediction of the timing of developing acute kidney injury (AKI) could be made. Whether or not this approach can be extended to other diseases is uncertain. Still, we believe it represents a valuable pharmacological insight to help improve clinical outcomes for severely ill patients.

Quality control and drug-drug interactions between commercially available Metoprolol and Glimepiride tablets

Abstract Quality is paramount and needs to be maintained throughout the shelf life of pharmaceuticals. The current study aimed to evaluate the quality, potency, and drug-drug interaction in an in vivo animal model by using two drugs, namely, metoprolol and glimepiride. Tablets were selected for their physical characteristics, such as shape, size, and color. Quality control tests, such as weight variation, hardness, friability, and disintegration tests, and invitro drug release studies were performed as per USP. Drug-drug interaction and in vivo studies were carried out according to the standard protocol of the animal ethics committee. Quality control tests of both the tablets were within the specified range. The cumulative release percentages of the drugs were 81.12% and 85.36% for Metoprolol Tartrate and Glimepiride, respectively, in a physiological buffer solution within 1 h. The combination of metoprolol and Glimepiride also significantly decreased the blood glucose level in diabetic animals. However, the blood glucose level increased in the group receiving metoprolol only, but the difference was not significant. The result suggested that the formulations are safe. However, the chronic use of this combination requires frequent monitoring of blood glucose level to improve its efficacy and for the patient's safety.

Association of body composition with toxicity to first-line chemotherapy and three-year survival in women with ovarian adenocarcinoma.

BACKGROUND: This study aimed to evaluate the association of body composition with toxicity to first-line chemotherapy and three-year survival in women with ovarian adenocarcinoma. METHODS: We enrolled, in a retrospective cohort, 239 women treated with carboplatin and paclitaxel between 2008 and 2017. Pretreatment computed tomography scans were used to quantify skeletal muscle index (SMI), skeletal muscle radiodensity (SMD), and subcutaneous adipose tissue index (SATI). Chemotherapy doses, related toxicities, potential drug-drug interactions (DDI), and clinical variables were collected from medical records. Outcomes were the number of adverse events ≥ grade 3 toxicity, toxicity-induced modification of treatment (TIMT), and three-year survival. RESULTS: Average age was 56.3 years and 35.1% had myopenia. Almost 33% had TIMT and 51.3% presented any grade 3 toxicity. Potential severe DDI occurred in 48.1% of the patients and 65.1% died three years after the first treatment. The SMD and SATI below the median were independent predictors for the number of adverse events ≥ grade 3 and TIMT. Also, SMD was the only body composition parameter able to predict reduced three-year survival. The SMI was not associated with any of the outcomes. CONCLUSION: Fewer amounts of SATI and low SMD were associated with the occurrence of toxicity to chemotherapy, and the low SMD increased the risk of death in the three years after oncologic treatment.

Atrial Fibrillation and Cancer.

Cancer patients have a higher risk of atrial fibrillation (AF) than general population, the pathophysiology mechanisms involves the pro inflammatory status of immune system in these patients and the exacerbated inflammatory response to cancer treatment and surgeries. Adequate management and prophylaxis for its occurrence are important and reduce morbidity and mortality in this population. There is a challenge in AF related to cancer to predict thromboembolic and bleeding risk in these patients, once standard stroke and hemorrhagic prediction scores are not validated for them. It is used CHA2DS2-VASc and HAS-BLED scores, the same as used in general population. In this review, we demonstrate correlated mechanisms to occurrence AF in cancer patients as well as therapeutic challenges in this population.

Proton Pump Inhibitors and Oncologic Treatment Efficacy: A Practical Review of the Literature for Oncologists.

Proton pump inhibitors (PPIs) are the most commonly used anti-acid drugs worldwide, including among cancer patients. However, drug-drug interactions between PPIs and other agents may lead to decreased drug absorption with possible reduced therapeutic benefit, or even increased toxicity. Unfortunately, only scarce data exist regarding the safety of concomitant PPI use with anti-cancer agents. We aim at reviewing current evidence on this possible interaction by dividing anti-cancer agents by class. Until further data is available, we encourage healthcare providers to limit unnecessary PPI overuse.

Meropenem for management of valproic acid overdose: a case report.

Objectives Valproic acid (VPA) is an anticonvulsant used in several clinical scenarios. VPA has been increasingly associated with intentional or unintentional overdose. In patients presenting with severe VPA overdose, supportive care and airway protection are cornerstones of treatment, while levocarnitine is suggested in patients with hyperammonemia and hemodialysis is recommended in patients with VPA serum concentrations (SC) >1,300 mg/L and presence of cerebral edema or shock. Meropenem is a carbapenem antibiotic with a broad spectrum of activity. The pharmacological interaction between VPA and meropenem is characterized by a rapid decrease in VPA concentrations, which contraindicates concurrent use. Case presentation The following case report describes the use of meropenem to enhance the clearance of VPA in the case of severe VPA overdose. A patient with altered mental status was transported to the emergency department (ED) after VPA overdose. Meropenem was prescribed for significant elevated VPA SC. An important decline in SC was observed with short-term meropenem dosing, and an improvement in mental status occurred shortly after administration. Conclusions Carbapenem therapy has the potential to be used as last line strategy in the management of severe VPA overdose in patients where SC represent a significant risk of toxicity and clinical symptoms suggest difficulty managing the patient.

Effect of Lercanidipine on the Pharmacokinetics-Pharmacodynamics of Carvedilol Enantiomers in Patients With Chronic Kidney Disease.

This study evaluates the carvedilol-lercanidipine drug interaction, and the influence of chronic kidney disease (CKD) on both drugs. Patients with high blood pressure (8 with normal renal function [control] and 8 with CKD with estimated glomerular filtration rate categories of G3b to G5 [12-38 mL/min/1.73 m2 ]) were included and prescribed 3 different treatment regimens, a single oral dose of racemic carvedilol 25 mg (CAR), a single oral dose of racemic lercanidipine 20 mg (LER), and single oral doses of CAR plus LER. Blood samples were collected and variations in heart rate were assessed (using isometric exercise with handgrip) for up to 32 hours. Lercanidipine pharmacokinetics were not enantioselective, and were not affected by carvedilol and CKD. Carvedilol pharmacokinetics (data presented as median) were enantioselective with higher plasma exposure of (R)-(+)-carvedilol in both control (103.5 vs 46.0 ng ∙ h/mL) and CKD (190.6 vs 98.9 ng ∙ h/mL) groups. Lercanidipine increased the area under the plasma concentration-time curve of only (R)-(+)-carvedilol in the CKD group (190.6 vs 242.2 ng ∙ h/mL) but not in the control group (103.5 vs 98.7 ng ∙ h/mL). CKD increased plasma exposure (46.0 vs 98.9 ng ∙ h/mL) and effect-compartment exposure (5.5 vs 20.9 ng ∙ h/mL) to (S)-(-)-carvedilol, resulting in higher ß-adrenergic inhibition (10.0 vs 6.1 bpm). Therefore, carvedilol dose titration in CKD patients with estimated glomerular filtration rate categories of G3b to G5 should be initiated, with no more than half the dose used for patients with normal renal function.

Polypharmacy in a hospitalized psychiatric population: risk estimation and damage quantification.

BACKGROUND: Polypharmacy increases the risk of pharmacological interactions, prevalence of secondary effects and with this the lack of adherence to treatment. It is estimated that between 10 and 40% of patients hospitalized in psychiatric institutions are prescribed more than one antipsychotic. The objective of the present study was to identify the prevalence of polypharmacy, evaluate adverse effects associated to the use of psych drugs and to estimate the risk in specific groups. METHODS: We carried out a longitudinal, retrospective study that included the analysis of all discharged patients (n = 140) in the first trimester of the year in a psychiatric hospital in Mexico. The information was classified into 7 sections: sociodemographic, diagnosis, clinical follow-up information, prescribed drugs, adverse reactions, substance abuse, laboratory and complementary results. Risk estimation was obtained with Odds Ratios, to correlate continuous variables Pearson's correlation was used. Student's T and Mann Whitney's U were used to compare 2 independent samples; multiple and linear regressions were carried out. RESULTS: The mean number of drugs used during hospitalization was 7.8 drugs per patient. The mean prescribed psych drugs was 4.07. The mean antipsychotic dose was the risperidone equivalent of 5.08 mg. 29.2% of patients had at least one secondary effect associated to the use of drugs, 17.8% presented extrapyramidal symptoms. 81.4% of patients were prescribed 6 or more drugs (polypharmacy) and were 5 times more likely to suffer a secondary effects (OR 6.24). 14.2% had polypharmacy while receiving antipsychotics and had more than twice the risk of presenting extrapyramidal symptoms (OR 3.05). For each added psych drug, hospital stay increased by 6.56 days. CONCLUSIONS: Despite international guideline recommendations where reasoned and conciliatory prescription of psych drugs is advised, there is still a high prevalence of polypharmacy in patients hospitalized in psychiatric institutions. In the present study 4 out of 5 patients received polypharmacy decreasing tolerability, treatment adherence and increasing the risk and costs secondary to an increased hospital stay.

Potential drug-drug interaction in Mexican patients with schizophrenia.

OBJECTIVE: The aim of this study was to observe potential drug-drug interactions in the medication of Mexican schizophrenic patients. METHODS: We performed a retrospective and cross-sectional study that was carried out in a psychiatric clinic. Only the prescriptions of patients with schizophrenia whose diagnoses were based on the DSM-IV instrument were included in this study. The Drug Interactions Checker software ( http://www.drugs.com/drug_interactions.html ) was used in this study to analyse potential drug-drug interactions. RESULTS: In total, 86 of 126 patients were at risk of potential drug-drug interactions. Haloperidol and biperiden was the most common drug pair of 232 pairs evaluated. In our study, 13.8% of drug-drug interaction showed a major level of severity, whereas in 83.2%, the interaction was moderate. Finally, central nervous system (CNS) depression and anticholinergic effect were the main possible effects of drug-drug interaction. CONCLUSIONS: Our results revealed a high number of patients with schizophrenia receiving two or more drugs. The potential drug-drug interactions observed in the Mexican population are consistent with the concomitant use of antipsychotics, benzodiazepines, and antidepressants prescribed in schizophrenia that could cause central nervous system (CNS) depression and anticholinergic effect. Drug-drug interaction must be considered when the patient with schizophrenia is medicated.

Study of warfarin utilization in hospitalized patients: analysis of possible drug interactions.

Background Drug-drug interactions in patients taking warfarin may contribute to a higher risk of adverse events. Objective To identify and evaluate the prevalence and characteristics of potential DDIs with warfarin. Methods A cross-sectional study was performed in a Brazilian tertiary hospital. The electronic prescriptions of the patients receiving warfarin between January 2004 and December 2010 were analyzed. Socio-demographic, clinical, and therapeutic variables were collected. Warfarin drug-drug interactions were classified as either risk A, B, C, D, or X according to the Lexi-Interact™ Online database. Results A total of 3048 patients were identified who were prescribed warfarin. Of the 154,161 total drug prescriptions issued, 42,120 (27.3 %) were for warfarin. Evaluation of the prescriptions showed that 63.1 and 0.1 % of patients received concomitant drugs classified as having class D or X risk. It was found that 20,539 (48.7 %) prescriptions had at least one drug with a D or X risk. Patients were prescribed an average of 1.4 (±0.4) concomitant medications with a class D or X warfarin-DDI risk, the most frequent being acetylsalicylic acid and amiodarone. Conclusion The results demonstrate a high prevalence of concomitant drug prescriptions with the potential for clinically relevant DDIs with warfarin, the most frequent being acetylsalicylic acid and amiodarone.

Clinical relevancy and risks of potential drug-drug interactions in intensive therapy.

PURPOSE: Evaluate the potential Drug-Drug Interactions (pDDI) found in prescription orders of adult Intensive Care Unit (ICU) of a Brazilian public health system hospital; quantify and qualify the pDDI regarding their severity and risks to the critical patient, using the database from Micromedex®. METHODS: Prospective study (January-December of 2011) collecting and evaluating 369 prescription orders (convenient sampling), one per patient. RESULTS: During the study 1844 pDDIs were identified and distributed in 405 pairs (medication A × medication B combination). There was an average of 5.00 ± 5.06 pDDIs per prescription order, the most prevalent being moderate and important interactions, present in 74% and 67% of prescription orders, respectively. In total, there were 9 contraindicated, 129 important and 204 moderate pDDIs. Among them 52 had as management recommendation to "avoid concomitant use" or "suspension of medication", while 306 had as recommendation "continuous and adequate monitoring". CONCLUSION: The high number of pDDIs found in the study combined with the evaluation of the clinical relevancy of the most frequent pDDIs in the ICU shows that moderate and important interactions are highly incident. As the majority of them demand monitoring and adequate management, being aware of these interactions is major information for the safe and individualized risk management.

Impact of 17-alpha-hydroxyprogesterone caproate on cytochrome P450s in primary cultures of human hepatocytes.

OBJECTIVE: The aim of this study was to examine the effects of 17-alpha-hydroxyprogesterone caproate (17OHP-C) on the activity and expression of several common hepatic cytochrome P450 (CYP) enzymes. STUDY DESIGN: Primary human hepatocytes were pretreated with vehicle or 17OHP-C (0.1 and 1 µmol/L) for 72 hours, then incubated for 1 hour with a cocktail of CYP substrates. The activity of various CYP enzymes was determined by measuring the formation of the metabolites of specific CYP substrates, using liquid chromatography-tandem mass spectrometry. The messenger RNA expression of various CYP enzymes was determined by real-time polymerase chain reaction. RESULTS: In primary cultures of human hepatocytes, 17OHP-C minimally altered the activity or messenger RNA levels of CYP1A2, CYP2C9, CYP2D6, and CYP3A. However, 17OHP-C at 1 µmol/L increased CYP2C19 activity by 2.8-fold (P < .01) and CYP2C19 expression by 2.4-fold (P < .001), compared with vehicle-treated cells. A strong positive correlation between activity and expression of CYP2C19 was also observed (r = 0.9, P < .001). CONCLUSION: The activity and expression of hepatic CYP2C19 was significantly increased by 17OHP-C in primary cultures of human hepatocytes. This suggests that exposure to medications that are metabolized by CYP2C19 may be decreased in pregnant patients receiving 17OHP-C. Metabolism of substrates of CYP1A2, CYP2C9, CYP2D6, and CYP3A are not expected to be altered in patients receiving 17OHP-C.