Product Images Amoxicillin

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Amoxicillin NDC 70518-3886 by Remedyrepack 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.

MM2 - Amoxicillin 500mg 70518 3886 01

MM2 - Amoxicillin 500mg 70518 3886 01

Amoxicillin 500 mg Tablet is available with a quantity of 1 tablet. It is a prescription medication with an NDC number of 70518-3886-01. The expiration date and lot number are not available. The source NDC is 57237-0028-01, and the manufacturer is Rising Pharma, Inc., located in Allendale, NJ 07401. This medication should be kept out of the reach of children. The package insert should be consulted for directions on how to use it. It should be stored at a temperature of 20-25°C (58-77°F), with excursions permitted to 15-30°C (59-86°F) according to USP guidelines. The medication has been repackaged by RemedyRepack Inc., located in Indiana, PA 15701. Their contact number is 724.465.8762.*

Remedy_Label - Remedy Label

Remedy_Label - Remedy Label

Amoxicillin is a medication available in tablet form with a strength of 500 mg. This specific package contains 100 tablets. The medication is only available with a prescription. The National Drug Code (NDC) for this product is 70518-3886-00. The manufacturer is Rising Pharma, Inc., located in Allendale, NJ 07401. It is important to keep this medication out of the reach of children. Directions for use can be found in the package insert. The medication should be stored at a temperature between 20-25°C (58-77°F), with excursions permitted at 15-30°C (59-86°F) according to USP guidelines. The medication has been repackaged by RemedyRepack Inc., located in Indiana, PA 15701.*

str - amoxicillin str

str - amoxicillin str

* 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.