Bexarotene Capsule
Product Images NDC 69238-1250

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 Bexarotene (NDC 69238-1250). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Amneal Pharmaceuticals Ny 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

Structural Formula (Bexarotene Capsules 1)

FDA Label Image

75 Label (Bexarotene Capsules 2)

75 Label (Bexarotene Capsules 2)
NDC 69238-1250-1 is a prescription medicine containing Bexarotene. It is available in a package of 100 capsules, and each capsule contains 75 mg of bexarotene along with inactive ingredients. The recommended dosage is 5 capsules per package. This medicine should be protected from high temperatures, humidity, and light. It should be kept out of the reach of children. This medicine is distributed by Amneal Pharmaceuticals LLC. The lot number and expiration date are provided on the package. Patient information is also included.*
FDA Label Image

75 Carton (Bexarotene Capsules 3)

75 Carton (Bexarotene Capsules 3)
This is a description of a medication called Bexarotene. It comes in capsules and each bottle contains 100 capsules with 76mg of Bexarotene in each capsule. Inactive ingredients include butylated hydroxyanisole, polyethylene glycol 400, polysorbate 20, gelatin, purified water, sorbitol, sorbitan monostearate, and titanium dioxide. The packaging suggests to keep the medicine away from high temperatures and moisture and to protect it from light. The lot number for this particular bottle is 31869238 with an expiry date of 12501. The medication requires a prescription.*

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