Valsartan Tablet, Film Coated
Product Images NDC 72789-553

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Valsartan (NDC 72789-553). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Pd-rx Pharmaceuticals, 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.

FDA Label Image

Image (08731c4e 5c0c 4fba B250 Dbd17fd36e6e 01)

FDA Label Image

Image (08731c4e 5c0c 4fba B250 Dbd17fd36e6e 02)

Image (08731c4e 5c0c 4fba B250 Dbd17fd36e6e 02)
This is a statistical comparison of subgroups within the patient population. The data includes information on different demographics such as age, gender, ethnicity (Caucasian vs. Non-Caucasian), location (US vs. Non-US), and medication usage (Beta-blocker vs. No Beta-blocker). The study involves a comparison between Valsartan and Captopril, showing the distribution of patients within each subgroup. The numbers indicate the percentage of patients in each category.*
FDA Label Image

727895539 Label (72789553)

727895539 Label (72789553)
This is a description of a medication called Valsartan Tablets, USP with a strength of 40 mg. The tablets are film-coated and come in a package of 90 tablets. The dosage information should be referenced in the package insert. The package is child-resistant and should be stored at 20°C to 25°C (68°F to 77°F) with excursions permitted to 15°C to 30°C (59°F to 86°F). It is important to protect the medication from moisture and dispense it in a tight container. The source of this medication is Zydus Pharmaceuticals Ltd. in Ahmedabad, India. For any product inquiries, contact PD-Rx Pharmaceuticals, Inc. in Oklahoma City.*

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