Valsartan Tablet, Film Coated
Product Images NDC 51655-834

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 5 technical images submitted to the FDA as part of the official labeling for Valsartan (NDC 51655-834). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Northwind Health Company, Llc, 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

51655-834-52 (51655 834 52 Rev A 02 23)

51655-834-52 (51655 834 52   Rev A 02 23)
This is a product description for Valsartan tablets, with an NDC code of 51655-834-52. Each film-coated tablet contains 160mg of valsartan. It is repackaged by Northwind Pharmaceuticals and manufactured by Camber Pharmaceuticals. The lot number for this product is 0000000000, with an expiration date of 00/00/0000. It is important to store this product at 20° - 25°C (68° - 77°F), and to keep it protected from moisture. Dosage information can be found in the package insert, and this product is only available with a prescription. LCN# 00 and Rev. A 02/23 are also included in the description.*
FDA Label Image

Camberlogo1 (Camberlogo1)

FDA Label Image

Camberlogo2 (Camberlogo2)

FDA Label Image

Valsartantabfig1 (Valsartantabfig1)

Valsartantabfig1 (Valsartantabfig1)
This appears to be a table that shows various subgroups of patients based on age, gender, race, nationality, and beta-blocker usage. The table also indicates the percentage of patients in each subgroup and their preference for Valsartan or Captopril. For example, patients over 65 years old represent 53% of the patient population and 29.6% of them preferred Captopril over Valsartan.*
FDA Label Image

Valsartantabstructure (Valsartantabstructure)

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