Product Images Cefuroxime

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Cefuroxime NDC 0143-9976 by Hikma Pharmaceuticals Usa Inc., 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.

cefuroxime for injection pbp 1

cefuroxime for injection pbp 1

cefuroxime for injection pbp 2

cefuroxime for injection pbp 2

This is a description of Cefuroxime for Injection, which comes in a Pharmacy bulk package of 7.5g per vial and is not meant for direct infusion. The package is not to be dispensed as a unit, and its use is reserved for intravenous use only. The package has instructions for constitution and further dilution before use but is not intended for immediate administration. The package is meant for pharmacy bulk use and has 53 pharmacy doses per unit. The package comes with a warning to protect the contents from temperature changes and to discard unused portions. The package is made by Higha Farmaceutica, with a lot number available.*

cefuroxime for injection pbp 3

cefuroxime for injection pbp 3

Cefuroxime for injection, USP is a pharmacy bulk package that is not for direct infusion. The package has a 5g and a 7.5g per vial concentration, with 10x7.5g Vials. The package is Rx only and is for intravenous use only. The package has a NDC code of 0143-997-6-03. The instructions on how to open the package are not legible. The package has to be discarded 4 hours after initial battery, and the contents should be withdrawn without delay. The dosage, storage details and manufacturer's information are also present.*

cefuroxime for injection pbp 4

cefuroxime for injection pbp 4

This text provides product information including the Global Trade Item Number (GTIN), serial number (SN), expiration date (EXP), and lot number (LOT).*

* 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.