Ondansetron Hydrochloride Tablet, Film Coated
Product Images NDC 67296-1562

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 Ondansetron Hydrochloride (NDC 67296-1562). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Redpharm Drug, 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

Package Label-principal Display Panel (4 mg (30 Tablet Bottle))

Package Label-principal Display Panel (4 mg (30 Tablet Bottle))
This text appears to be a detailed description of a pharmaceutical product. It includes information about a tablet containing 4 mg of Ondansetron hydrochloride, manufactured by TiSing Phama Holdings, Inc. The tablets are film-coated and should be stored in a light-resistant container at temperatures between 20°C-25°C. Additionally, the text mentions guidelines for dosage and administration, as well as specific packaging requirements with a 2D Data matrix.*
FDA Label Image

Package Label-principal Display Panel (8 mg (30 Tablet Bottle))

Package Label-principal Display Panel (8 mg (30 Tablet Bottle))
The text provides information about a film-coated tablet containing ondansetron, equivalent to 8 mg, distributed by TS/DRUGS/19/1993 in New Brunswick, NJ. It includes guidance for storage at 20-25°C, controlled room temperature, and protection from light. The tablets are to be dispensed in a tight, light-resistant container as per USP guidelines. The packaging should include a readable GTIN, Serial Number, Expiry Date, and LOT in a human-coding area with a 2D data matrix printed during packing.*
FDA Label Image

Chemical Structure (Ondansetron Str)

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