Product Images Glycopyrrolate

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Product Label Images

The following 4 images provide visual information about the product associated with Glycopyrrolate NDC 0404-9782 by Henry Schein, 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.

Formula1.jpg - Formula1

Formula1.jpg - Formula1

Molecular formula: C13H23BrNO Molecular weight: 398.33 g/mol This text provides the molecular formula and the molecular weight of a compound. The molecular formula specifies the types and numbers of atoms in a molecule, while the molecular weight provides the mass of the molecule in atomic mass units.*

Image1.jpg - Image1

Image1.jpg - Image1

This text appears to be a scientific data table showing different parameters related to the administration of a substance (possibly a drug or chemical) in two groups: one receiving intravenous (IV) administration and another receiving intramuscular (IM) administration. The table includes values for parameters such as group, time to maximum concentration (T max), maximum concentration (C max), and area under the curve (AUC), among others. It seems to be evaluating the pharmacokinetics of the substance in the body.*

Image2.jpg - Image2

Image2.jpg - Image2

Label1.jpg - Label1

Label1.jpg - Label1

This is a description for Glycopyrrolate 0.4 mg/mL Injection, USP in a 2mL Single Dose Vial for intramuscular or intravenous administration. The medication is not for use in newborns and contains benzyl alcohol. It should be kept out of children's reach and stored at a controlled room temperature between 20°C and 25°C (68°F and 77°F). The product is packaged by Henry Schein, Inc. and the manufacturer information includes NDC: 66794-203-42 by Piramal Critical Care. The prescription information and other details are also provided on the packaging.*

* 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.