Chemical Structure (2963ec25 A1f1 403a A539 Bce7b19d46d0 01)
Zolpidem Tartrate Tablet, Coated
Product Images NDC 63187-690
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 63187-690). 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.
63187-691-60 (2963ec25 A1f1 403a A539 Bce7b19d46d0 02)
This is a description of Zolpidem Tartrate, which contains 5mg of the active ingredient. It is a white, round-shaped, biconvex film-coated tablet with "ZLP" debossed on one side and "5" on the other side, and comes in a pack of 60 or 50 tablets. The tablets are dispensed with a medication guide, and should be stored at 20°-25°C (68°-77°F) away from children. The product was manufactured in Slovenia by Lek Pharmaceuticals d.d. with product ID PZ069160, and the lot #00000 is marked with SN# MASTER and an expiration date of 00/00/00. The product is packaged by Proficient Rx LP located in Thousand Oaks, CA 91320.*
63187-690-30 (2963ec25 A1f1 403a A539 Bce7b19d46d0 03)
This is a description of a prescription drug called Zolpidem Tartrate 10mg. It comes in 30 round-shaped, yellow, biconvex tablets with ZLP debossed on one side and 10 on the other side. The tablets are film-coated and are manufactured in Slovenia by Lek Pharmaceuticals d.d. and packaged by Proficient Rx LP. The lot number is 00000, and it expires on 00/00/00. The medication guide must be provided to each patient separately, and it should be kept out of reach from children. The product ID is PZ069030, and it should be stored at 20°-25°C (68°-77°F).*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
