Product Images Dextrose

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 7 images provide visual information about the product associated with Dextrose NDC 71872-7057 by Medical Purchasing Solutions, Llc, 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.

pdp - 7057

pdp - 7057

This is a description of a medication called "50% Dextrose Injection, USP" sold in a vial. Each mL of this medication includes 0.5 grams of dextrose, and it may contain sodium hydroxide and/or hydrochloric acid for pH adjustment. The medication is sterile and non-pyrogenic, and it is intended for intravenous use. The usual dosage is not provided but can be found in the insert. The medication should be stored between 20-25°C. The text also includes instructions for using the medication, which should be added aseptically to a suitable solution container or used undiluted. The manufacturer is Hospira, Inc, located in Lake Forest, USA, and the medication is distributed by "Medical Purchasing Solutions."*

Lifeshield - dextrose 01

Lifeshield - dextrose 01

Ansyr - dextrose 02

Ansyr - dextrose 02

AnsyrII - dextrose 03

AnsyrII - dextrose 03

Chemical Structure - dextrose 04

Chemical Structure - dextrose 04

Logo - dextrose 05

Logo - dextrose 05

Not available.*

PRINCIPAL DISPLAY PANEL - 50 mL Vial Label - dextrose 12

PRINCIPAL DISPLAY PANEL - 50 mL Vial Label - dextrose 12

This is a description of a single-dose injection called Vo, which contains 50 mL of dextrose hydrous 500/0.5 grams. It may also contain NaOH and/or HCI for pH adjustment. This injection is sterile, nonpyrogenic, and should be used intravenously. The usual dosage is listed in the insert, and it should be stored at 20 to 25°C. The injection is produced by Hospira, Inc. and the lot/exp area is also mentioned in the text.*

* 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.