Rivaroxaban Tablet
Product Images NDC 43598-981

Product Visual Gallery

This gallery contains 8 technical images submitted to the FDA as part of the official labeling for Rivaroxaban (NDC 43598-981). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Dr.reddy's Laboratories, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

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This text is an information guide for Rivaroxaban Tablets, USP 2.5mg from Dr. Reddy's pharmaceutical company. The text provides details such as NDC number, important instructions, and a QR code for additional information. It is advised to visit the website www.drreddys.com/medguide for a detailed Medication Guide. The guide is intended for pharmacists to dispense to each patient and contains 60 tablets.*

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This text describes the population distribution based on PK fold change and 90% CI in different conditions, including End-Stage Renal Disease, Renal Impairment, Age, Body Weight, and Hepatic Impairment. It provides specific comparisons for each group, such as severe and mild renal impairment, different age groups, various body weight ranges, and levels of hepatic impairment. The text also includes information on the reference values and the specific criteria used for different groups like ESRD subjects under hemodialysis and creatinine clearance levels.*

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This is a list showing the Fold Change and 90% Confidence Interval for the pharmacokinetics of various drugs when interacting with P-gp and CYP3A inhibitors or inducers. The text includes information on drugs like Ketoconazole, Ritonavir, Clarithromycin, Erythromycin, Fluconazole, and many more, along with their Area under the Curve (AUC), maximum concentration (Cmax), and the relative change compared to Rivaroxaban alone.*

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* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.