Product Images Propranolol Hydrochloride
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 6 images provide visual information about the product associated with Propranolol Hydrochloride NDC 76420-384 by Asclemed 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.
10 - label 10 mg
This is information about Propranolol Hydrochloride Tablets, USP 10 mg from Enovachem. The tablets come in different quantities of 20, 30, 60, 90, 100, and even 1000 tablets per package. They are distributed by Amic Pharmaceuticas, LLC and are labeled for prescription (RX) use. The tablets should be stored at temperatures ranging from 20-25 degrees Celsius to ensure stability. Each package has a unique lot number and batch number for identification purposes.*
20 - label 20 mg
This text provides detailed information about Propranolol Hydrochloride Tablets in different quantities and strengths. The tablets are presented in blister packs and are intended for pharmaceutical use as they are classified as RX drugs. It includes batch numbers, storage instructions at 20-25°C, and NDC codes for each variation of the medication. The tablets are manufactured by Aic Pharmaceuticals, LLC and the text emphasizes keeping them out of reach of children.*
40 - label 40 mg
60 - label 60 mg
This is a list of various Propranolol Hydrochloride Tablets with different quantities and NDC numbers. The tablets are distributed by various companies and come in 60 mg strength. Each item is labeled with a description and instructions to keep out of reach of children and store at room temperature. Additionally, the tablets are for prescription use only. The list also includes different NDC numbers and lot numbers for tracking purposes.*
80 - label 80 mg
chemical-structure - propanolol 2
* 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.
