Product Images Metformin Hydrochloride ER

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Product Label Images

The following 4 images provide visual information about the product associated with Metformin Hydrochloride ER NDC 76385-129 by Bayshore Pharmaceuticals 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.

500 mg Product Label - 500 mg

500 mg Product Label - 500 mg

This is a medication called Metformin Hydrochloride, which is an extended-release tablet form containing 500 mg of the active ingredient. The tablets should be stored at a temperature between 15°C to 30°C, dispensed in a light-resistant container and one must follow the enclosed package insert. It is distributed by Bayshore Pharmaceuticals LLC and manufactured by BEXIMCO PHARMACEUTICALS LTD. The national drug code for this medication is 76385-128-10.*

750mg 100ct

750mg 100ct

Each tablet of Metformin Hydrochloride Extended-Release Tablets contains 750mg of metformin hydrochloride. The package insert enclosed with the product should be consulted for dosage information. The tablets should be stored at a controlled room temperature and dispensed in a light-resistant container. Distributed by BEXIMCO PHARMACEUTICALS LTD, the product comes in a pack of 100 tablets and is only available through prescription.*

750mg 500ct

750mg 500ct

This is a description of a medication called Metformin Hydrochloride which is extended-release tablets, it is prescribed only and each tablet contains 750 milligram of the medication. It comes in a package with NDC 76385-129-50 and is distributed by Bayshore Pharmaceuticals LLC. The package should be kept between 15°C-30°C (59°F-86°F) and kept in a light-resistant container. It is manufactured by BEXIMCO PHARMACEUTICALS LTD. Lot and exp numbers are not available, and the package contains 500 tablets.*

Structural Formula - image

Structural Formula - image

* 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.