Propranolol Injection, Solution
Product Images NDC 71872-7195

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Propranolol (NDC 71872-7195). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Medical Purchasing Solutions, Llc, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Vial (600401 Vial)

Vial (600401 Vial)
This is a description of a medication called Propranolol Hydrochloride, which is available in injection form with a strength of 1 mL single dose vial. The medication is intended for intravenous use only, with the recommended dosage information included in an insert. The National Drug Code (NDC) for this medication is 63323-604-01 600401.*
FDA Label Image

71872-7195-1.pdp (71872 7195 1)

71872-7195-1.pdp (71872 7195 1)
The text describes a Propranolol Hydrochloride Injection, USP, with a strength of 1 mg/mL in a 1 mL Single Dose Vial. It is a beta-adrenergic blocker that is sterile and for intravenous use only. The usual dosage varies from 1 to 83 mg. The vial must be stored at a temperature of 20° to 25°C and protected from freezing, excessive heat, and light. The manufacturer of the product is APP Pharmaceuticals, LLC Schaumburg, IL 80173, and the distributor is located in Scottsdale, AZ 85260. The vial stoppers do not contain natural rubber latex. A full prescribing information insert is included. The text does not disclose any relevant issues.*
FDA Label Image
Logo (Band Logo)
APP Pharmaceuticals is a company based in Schaumburg, IL 60173, presumably involved in the development or distribution of pharmaceutical products.*
FDA Label Image

Structure (Propranolol Structure)

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.