Abacavirosaddress1 (Abacavirosaddress1)
Abacavir Solution
Product Images NDC 31722-562
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 5 technical images submitted to the FDA as part of the official labeling for Abacavir (NDC 31722-562). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Camber 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.
Abacavirosaddress2 (Abacavirosaddress2)
Abacaviros Structure (Abacavirosstructure)
Cartonabacaviros (Cartonabacaviros)
This is a description of a pharmaceutical solution in a bottle that measures 63x63x150 mm. The Pharma Code is 2082, and the solution is made of 400 GSM Cyber XL Board with Aqua Varnish Coating that comes in three colors. The solution is used for abacavir oral treatment with 20 mg/mL*. The usual dosage should be checked in the prescribing information. The solution must be stored at 20-25°C, and the manufacturer is Hetero Labs Limited in Hyderabad, India, who created this solution for Camber Pharmaceuticals Inc in Piscataway, NJ, USA.*
Containerabacaviros (Containerabacaviros)
Abacavir Oral Solution USP is a medication manufactured by Camber Pharmaceuticals, Inc. and containing 20mg of abacavir per ml. The medication should be stored at room temperature and should not be frozen. The usual dosage information can be found in the prescribing information. The medication comes in a 240mL bottle and must be dispensed with a medication guide and warning card. If you need to contact Camber Pharmaceuticals, the US phone number is 1-866-495-1995. The manufacturing license number is provided as 22/RR/AP/2001/FR and the manufacturer is Hetero Labs Limited located in Hyderabad, India.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
