Product Images Metformin Hydrochloride

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Product Label Images

The following 4 images provide visual information about the product associated with Metformin Hydrochloride NDC 70518-1766 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.

d076b756 d60f 41eb bfba 2d27b5b0c177 01

d076b756 d60f 41eb bfba 2d27b5b0c177 01

metFORMIN HCl 500mg 70518 1766 00

metFORMIN HCl 500mg 70518 1766 00

This is a prescription drug called Metformin HCI produced by Heritage in East Brunswick, NJ. The drug is packaged and repackaged for distribution and requires storage at a temperature between 20-26°C (63-77°F). The package insert contains directions for use which must be followed to avoid any risks associated with the medication.*

metFORMIN HCl 500mg 70518 1766 01

metFORMIN HCl 500mg 70518 1766 01

Description: This is a medication called metformin HCI that is prescription-only. The lot number, source NDC, and manufacturer's information are provided. There are directions for use on the package insert and the medication should be stored in a specific temperature range. It has been repackaged by RemedyRepack Inc. Children should not have access to the medication.*

metFORMIN HCl 500mg 70518 1766 02

metFORMIN HCl 500mg 70518 1766 02

metFORMIN HCI is a medication in tablet form with a dosage of 500 mg. There are 28 tablets in the package, and the NDC number is 70518-1766-02. The manufacturing company is Heritage, located in East Brunswick, NJ. The medication should be kept out of reach of children and stored in a temperature range of 20-26°C (63-77°F), with excursions permitted up to 15-30°C (59-86°F) as per USP guidelines. The directions for use can be found in the package insert. The medication was repackaged by RemedyRepack Inc. in Indiana, PA. The lot number and expiration date are not available.*

* 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.