Busulfan Injection, Solution
Product Images NDC 71288-158

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 Busulfan (NDC 71288-158). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Meitheal 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

Figure (Bus08 0000 01)

FDA Label Image

Principal Display Panel (Busulfan Injection 60 mg Vial Label)

Principal Display Panel (Busulfan Injection 60 mg Vial Label)
This is a label or information sheet for a medical product with the name 1B-430-V1. The product is a 10mL single-dose vial for intravenous infusion only. The manufacturer is novaplus and the product has a National Drug Code (NDC) number of 71288-158-95. There are dosage and administration instructions, as well as a cautionary statement to discard any unused portion. There are also some non-English characters and symbols present, but they do not contribute to the description of the product.*
FDA Label Image

Principal Display Panel (Busulfan Injection 60 mg Carton)

Principal Display Panel (Busulfan Injection 60 mg Carton)
This is a description of Busulfan Injection for intravenous infusion. It is a cytotoxic agent that must be diluted before use. The injection comes in 8x10 mL single-dose vials and is sterile, non-pyrogenic, and preservative-free. Each vial contains 60 mg busulfan, USP, and other ingredients for intravenous infusion only. The dosage and administration information can be found in the package insert. The injection should be stored refrigerated between 2°C and 8°C. This product is only available with a prescription.*

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