Losartan Potassium Tablet, Film Coated
Product Images NDC 68071-2216

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 7 technical images submitted to the FDA as part of the official labeling for Losartan Potassium (NDC 68071-2216). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Nucare 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

Pdp (68071 2216 3)

Pdp (68071 2216 3)
The text is a product description for Losartan Potassium 100mg tablets manufactured by NuCare Pharmaceuticals. Each bottle contains 30 tablets, and the lot number is 000000 with an expiration date of 00-00. Consumers are advised to call their doctor for medical advice about side effects and to store the product in a controlled temperature environment between 68-77°F. In case of any side effects, they may report them to FDA through the provided phone number.*
FDA Label Image

Pdp (Camber)

FDA Label Image

Losartanfigure1 (Losartanfigure1)

FDA Label Image

Losartanfigure2 (Losartanfigure2)

Losartanfigure2 (Losartanfigure2)
The text is showing the result of a study where there was a 26% reduction in adjusted risk, and a graph showing the percentage of patients with first-line or fatal strokes over a period of 66 study months.*
FDA Label Image

Losartanfigure3 (Losartanfigure3)

FDA Label Image

Losartanfigure4 (Losartanfigure4)

Losartanfigure4 (Losartanfigure4)
This text indicates that there are 0022 patents with an event related to risk reduction and the percentage of such patents is 18.1%. Additionally, there is a reference to "Months" but there is no clear context or meaning in this context.*
FDA Label Image

Losartanstructure (Losartanstructure)

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