Zolpidem Tartrate Tablet
Product Images NDC 76420-263

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 Zolpidem Tartrate (NDC 76420-263). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Asclemed Usa, 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

Label (Label 10mg)

Label (Label 10mg)
The text provides information about Zolpidem Tartrate Tablets, USP 10 mg, including the manufacturer (Torrent Pharma, Inc.), the quantity (30 or 60), lot number, expiration date, and drug status (CIV Clv). The tablets are capsule-shaped with a peach-yellow color and have the inscription "10 MG." The package also has a caution statement that warns against dispensing without a prescription, keeping the tablets out of reach of children, and storing them at controlled room temperature. The packaging is done by Enovachem in Georgia, USA.*
FDA Label Image

Label (Label 5mg)

Label (Label 5mg)
The text is a collection of labels for Zolpidem Tartrate Tablets, packaged by Enoyachem and distributed by Torrent Pharma Inc. The tablets are used for treating insomnia and are available in two strengths - 5mg and 10mg. Each pack contains 30 or 60 tablets, depending on the label. The tablets are red-colored, capsule-shaped, debossed with SMG or MG (17), and have a C-IV controlled status, which means that they have a moderate risk of addiction or abuse. The labels come with a caution to avoid dispensing without a prescription, and to store the tablets at a controlled room temperature between 68-77°F (20-25°C), out of reach of children.*
FDA Label Image

Image 1 (Structure)

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