Product Images Penicillin V Potassium

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Penicillin V Potassium NDC 16714-234 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.

PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 250 mg (100 Tablet Bottle) - penicillin fig1

PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 250 mg (100 Tablet Bottle) - penicillin fig1

Each tablet contains 250 mg of Penicillin V potassium equivalent to 400,000 units. This medication is dispensed in a tight container, for household use. It should be stored between 20°C to 25°C (68°F to 77°F). The package includes 100 tablets and was revised on 03/2018. Manufactured for Northstar Rx LLC by Aurobindo Pharma Limited. Other details are not available.*

PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 500 mg (100 Tablet Bottle) - penicillin fig2

PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 500 mg (100 Tablet Bottle) - penicillin fig2

This is a description of Penicillin V Potassium tablets, USP. The tablets come in a bottle of 100 tablets with each tablet containing Penicillin V potassium USP equivalent to 500 mg (800,000 units) penicillin V. The recommended dosage is 250 mg to 500 mg every 6 to 8 hours. The tablets should be kept in a tight container and stored at 20° to 25°C. Northstar Rx LLC manufactures the tablets, and they are not for household use. The accompanying information provides further details on the usage of the tablets.*

Chemical Structure - penicillin str

Chemical Structure - penicillin str

The text appears to represent chemical formulas and information. The molecular formula is C18H17O4KN2S and it has a molecular weight of 388.5. It is likely a chemical compound.*

* 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.