Busulfan Injection
Product Images NDC 16729-351

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 Busulfan (NDC 16729-351). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Accord Healthcare, 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

Carton Label For One Vial (Busulfan Injection Carton Label For Eight Vial)

FDA Label Image

Carton Label For Eight Vial (Busulfan Injection Carton Label For One Vial)

Carton Label For Eight Vial (Busulfan Injection Carton Label For One Vial)
Busulfan Injection is a cytotoxic agent that comes in a single-dose vial of 10 mL. It is recommended to be diluted before use, and any leftover solution should be discarded. It is only for intravenous infusion and should be stored between 2°C and 8°C (36°F to 46°F). Dosage and administration information is available in the package insert. It is manufactured by Accord Healthcare, Inc. and Intas Pharmaceuticals Limited in India.*
FDA Label Image

Chemical Structure (Busulfan Injection Structure)

FDA Label Image

10 mL Vial Label (Busulfan Injection Vial Label)

10 mL Vial Label (Busulfan Injection Vial Label)
This is a product description for a medicinal injection with dosage, administration, and cautionary instructions. It comes in a 60mg/10mL single-dose vial and must be diluted before use. The injection is a cytotoxic agent for intravenous infusion manufactured by Intas Pharmaceuticals Limited. Relevant product information is presented in the form of NDC code, package insert notes, and data matrix. No further information is available as some characters are unreadable.*

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