Product Images Glycopyrrolate

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Glycopyrrolate NDC 16714-620 by Northstar Rx 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.

1-ml-carton-label.jpg - 1 ml carton label

1-ml-carton-label.jpg - 1 ml carton label

1-ml-vial-label.jpg - 1 ml vial label

1-ml-vial-label.jpg - 1 ml vial label

This is a product description of a drug named Glycopyrrolate. It was manufactured and labeled by Indoco Remedies in a single-dose vial of 1 mL for the Northstar Re LG Injection, USP in Memphis, TN, with a LOT number XP and expiration date of 04/2022. The code number is G/DRUGS/557, and the manufacturer is Northstar Healthcare Holdings Ltd.*

2-ml-carton-label.jpg - 2 ml carton label

2-ml-carton-label.jpg - 2 ml carton label

Glycopyrrolate Injection, USP is a medication administered intravenously used to treat excessive sweating, drooling, and other symptoms associated with Parkinson's disease. The text also includes some random letters, numbers, and symbols that are not a meaningful description.*

2-ml-vial-label.jpg - 2 ml vial label

2-ml-vial-label.jpg - 2 ml vial label

This is a description of the pharmaceutical product Glycopyrrolate, an injection solution manufactured for Northstar R LLC. The solution contains 0.4mg per 2 mL and is supplied in a single-dose vial. Manufactured by Indoco Remedies in Verna, Goa, India, the product's expiry date is April 2022. There is also a code number printed on the packaging.*

chemical-structure - chemical structure

chemical-structure - chemical structure

CsHBENO is a chemical compound with a molecular weight of 398.33 g/mol. No further information is provided.*

* 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.