Norethindrone Tablet
Product Images NDC 63187-748

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Norethindrone (NDC 63187-748). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Proficient Rx Lp, 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

63187-748-28 (Carton)

63187-748-28 (Carton)
This is a description of a medication with the NDC code 63187-748-28, containing Norethindrone 0.35mg. It is a pack of 28-day tablets which are light yellow round, flat faced beveled edged, uncoated tablets with ‘305 debossed on one side and ‘G’ on the other side, and is manufactured by Glenmark Pharmaceuticals Limited in India. It is recommended to store the tablets at 20°-25°C (68°-77°F) and to keep medication out of the reach of children. The pack has a Lot # of 00000, and its Expiration date is 00/00/00. The medication has also been relabeled by Proficient Rx LP, located in Thousand Oaks, CA 91320.*
FDA Label Image

Glenmark Logo (Image 01)

Glenmark Logo (Image 01)
This text suggests that the only readable information is a single letter "G" and the word "glenmark". It is not possible to generate a useful description with such limited information.*
FDA Label Image

Glenmark Logo (Image 02)

Glenmark Logo (Image 02)
This text only contains the letter "G" followed by the word "glenmark". It is not possible to generate a meaningful description with this content.*
FDA Label Image

Structure (Structure)

Structure (Structure)
The text contains some chemical notations and a drug name "norethindrone USP". However, the information provided is not clear or complete to generate a useful description.*

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