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 60760-975 by St Marys Medical Park Pharmacy, 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.

55a315c3-figure-01 - 79cc3a62 figure 01

55a315c3-figure-01 - 79cc3a62 figure 01

Metformin850mg - Metformin850mg

Metformin850mg - Metformin850mg

This is a description for Metformin Hydrochloride Tablets USP of 850mg in quantity 60. This medicine is manufactured by Granules India Limited and packaged by S HIPP. Directions for use include taking the drug with food and as directed. This is a prescription drug that should be stored at a controlled temperature between 15°C and 30°C (59°F and 86°F).*

metformin 60760 973 60

metformin 60760 973 60

This is a prescription medicine called Metformin Hydrochloride, which comes in the form of tablets of 500mg each. The package contains 60 tablets and has a unique identification number (NDC) of 60760-973-60. It is used as directed by a doctor, and the manufacturer is Henlage Pharmaceuticals Inc. The package was packaged by a company called St. Mary's in Oro Valley, Arizona. It is a prescription medicine that should be stored between 15°- 30° C (59°-86°F).*

metformin 60760 975 60

metformin 60760 975 60

This is a description of a medication called Metformin Hydrochloride, which comes in the form of tablets. The tablets have a dosage of 1000mg and come in a bottle containing 60 tablets. The NDC code for this medication is 60760-975-60, and the lot number is 2772722. It is manufactured by a company called Taro Pharmaceuticals, and packaged by St. Mary's Managed Pharmacy Programs. The medication is to be used as directed, and should be stored at a controlled room temperature between 15 to 30 degrees Celsius.*

* 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.