Retrovir Capsule
Product Images NDC 49702-211
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 Retrovir (NDC 49702-211). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Viiv Healthcare Company, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Retrovir Capsule 100 mg 100 Count Label (Retrovir Spl Graphic 02)
This is a description of a medication called Zidovudine manufactured by Viv Healthcare. Each capsule consists of 100mg of the medication, and the dosage information can be found in the prescription. It should be stored at a temperature of 15°025°C (63° 0 77°F) and dispensed in a bright container as defined by the USP. The product is made in Carac, and the trademark is owned by the Viv Healthcare group of companies.*
Retrovir Oral Solution 240 mL Carton (Retrovir Spl Graphic 03)
240mL of Retrovir (zidovudine) oral solution with NDC 49702-212-48 is a medication that should be given with an appropriate syringe with 0.1-mL graduation to accurately measure the dose for neonates. The manufacturer of this medicine is Vi Healthcare and it is made in Canada. Trademarks are owned or licensed by the Vi Healthcare group of companies. The year 2020 is mentioned as a copyright date.*
Retrovir Iv 20 mL Vial 5 Count Carton (Retrovir Spl Graphic 04)
These are 5 Single-Use Vials of RETROVIR (zidovudine) injection, each containing 20 mL of the solution with a strength of 200 mg/20 mL (10 mg/mL). The National Drug Code (NDC) for this product is 49702-213-26. The solution is sterile and is intended for intravenous administration. Dosage information is available in the prescribing information.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.