Product Images Acarbose

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Acarbose NDC 62135-455 by Chartwell Rx, 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.

image description - acarbose tablets usp 100mg label

image description - acarbose tablets usp 100mg label

Acarbose Tablets, USP with a strength of DC62135-455-90 and 90 tablets per container, are available only with a prescription. The manufacturer is NOLLAI¥DS 30, and the medication is indicated to treat Type 2 diabetes.*

image description - acarbose tablets usp 25mg label

image description - acarbose tablets usp 25mg label

This is a prescription drug called Acarbose, which comes in the form of tablets. The National Drug Code (NDC) for this drug is 62135-453-90, and it is manufactured by a company called Chartwell Rx. The bottle contains 90 tablets and is intended for use only with a prescription. The text "Smmagmmaz:m" and "NOLLAI¥DS30" are not recognizable and thus, are not useful for any description.*

image description - acarbose tablets usp 50mg label

image description - acarbose tablets usp 50mg label

This is a prescription drug called Acarbose in tablet form with NDC number 62135-454-90. The price is not mentioned. The code "Rx Only" indicates that this drug can only be obtained with a valid prescription. The package contains 90 tablets manufactured by Chartwell Rx. No further information is provided.*

image description - acarbose tablets usp figure 1

image description - acarbose tablets usp figure 1

The provided text is not available.*

image description - acarbose tablets usp figure 2

image description - acarbose tablets usp figure 2

image description - acarbose tablets usp structure

image description - acarbose tablets usp structure

* 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.