Raloxifene Hydrochloride Tablet, Film Coated
Product Images NDC 50228-306

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 Raloxifene Hydrochloride (NDC 50228-306). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Sciegen 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

Package Label – Raloxifene, 60mg Bottle, 30ct (60 mg 2000tab)

Package Label – Raloxifene, 60mg Bottle, 30ct (60 mg 2000tab)
This text provides instructions for the usual adult dosage of Raloxifene Hydrochloride Tablets, USP. It also gives guidance for proper storage and dispensing, including the recommendation to store the medication at 20° to 25°C and dispense it in a child-resistant container. Additionally, it advises that a Medication Guide should be provided to each patient. The text also includes information on manufacturing and product identification.*
FDA Label Image

Package Label – Raloxifene, 60mg Bottle, 30ct (60 mg 30tab)

Package Label – Raloxifene, 60mg Bottle, 30ct (60 mg 30tab)
This is a medication called Raloxifene, dispensed in a child-resistant container with 30 tablets. The recommended usual adult dosage is not specified. The container should not be used if the inner seal is missing or broken. It should be stored at a temperature between 20-25°C (68-77°F) with permitted excursions from 15-30°C (59-86°F). The medication guide should be dispensed to each patient by the pharmacist. The product was manufactured by ScieGen Pharmaceuticals, Inc.*
FDA Label Image

Chemical Structure (Raloxifene Pi 01v1)

FDA Label Image

Figure 1 (Raloxifene Pi 02v1)

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