Product Images Fluorouracil

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Fluorouracil NDC 68001-525 by Bluepoint Laboratories, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

Fiuorouracil-Structure - Fluorouracil Structure

Fiuorouracil-Structure - Fluorouracil Structure

100mL Vial Carton - carton 100ml

100mL Vial Carton - carton 100ml

Fluorouracil Injection, USP is a 5g/100 mL medication packaged in a dimension of 55 x 55 x 115 mm carton with cautionary notes for intravenous use only. It is cautioned not to freeze and to store it away from direct light. The medication is a cytotoxic agent indicated for the treatment of cancer, and its dosage should be administered as dispensed by a pharmacist. Manufacturing information is indicated, including bulk packaging for direct infusion.*

50mL Vial carton - carton 50ml

50mL Vial carton - carton 50ml

This is a label from a pharmacy bulk package of Fluorouracil Injection, USP. The package is not for direct infusion and contains a cytotoxic agent. The contents of the package should be promptly dispensed after inserting a sterile transfer device or dispensing set. The manufacturer is Gland Pharma Limited, based in Visakhapatnam, India, and the product is marketed by BluePoint Laboratories. The label includes several sets of numbers and codes, as well as some cautionary statements.*

100mL Vial Label - vial 100ml

100mL Vial Label - vial 100ml

50mL Vial Label - vial 50ml

50mL Vial Label - vial 50ml

This text appears to be a label for a pharmaceutical product. It includes information such as the manufacturer's name and address, product details (name, dosage, and method of administration), safety precautions, and a warning that the product is cytotoxic.*

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.