Product Images Metformin Hydrochloride

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Metformin Hydrochloride NDC 71093-132 by Aci Healthcare Usa, 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.

container-label-1000mg-100 - container label 1000mg 100

container-label-1000mg-100 - container label 1000mg 100

The provided text is a mix of product packaging and information. It indicates how to store the product, Metformin Hydrochloride tablets, how many milligrams each tablet contains, dosage information, and safety precautions. The text also includes the distributor's address, child-resistant closure, and NDC number. There is no description to be generated from this text.*

container-label-500mg-100 - container label 500mg 100

container-label-500mg-100 - container label 500mg 100

This text is a label of Metformin Hydrochloride, which is an oral medication used for the treatment of type 2 diabetes. It contains information on the National Drug Code, the dosage, storage instructions, and precautions for use. It also includes the manufacturer's address and the ingredients contained in the tablets.*

container-label-850mg-100 - container label 850mg 100

container-label-850mg-100 - container label 850mg 100

This text contains prescribing information for Metformin Hydrochloride tablets in a 100 tablet package with each film-coated tablet containing 850mg. It also provides contact information for the manufacturer, Mangcarady St Pramceuic, and distributor, ContlSprngs. Additionally, it gives guidelines on storage, the usual dosage for the drug, and a warning to keep it out of reach of children. There is also a NDC number provided.*

Chem-structure - figure 01

Chem-structure - figure 01

* 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.