Product Images Methocarbamol
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 5 images provide visual information about the product associated with Methocarbamol NDC 69367-256 by Westminster 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.
westminster 500mg 100ct label - metho 500mg 100ct
westminster 500mg 500ct label - metho 500mg 500ct
The text provides dosage information for Methocarbamol tablets. The usual adult dosage is two to four tablets per dose. The tablets should be stored between 20 and 55°C and dispensed in a light container. The manufacturer is Hangzh Vinchen Gk Pharmaceutical Co. in China and the distributor is Westminster Pharmaceuticals LLC in Nashville, TN. The tablets come in a container with a total of 500 tablets.*
westminster 750mg 100ct label - metho 750mg 100ct
This is a label for Methocarbamol Tablets, USP. The label contains information on the quantity of tablets present (100 Tablets) along with the dosage strength (50mm). There is also an address of a place (227) mentioned which could possibly be the manufacturer or seller of the tablets. Apart from this, there are several inconsistent and unreadable characters making it difficult to provide a more detailed description.*
westminster 750mg 500ct label - metho 750mg 500ct
This is a description of a medication called Methocarbamol Tablets, USP. The usual adult dosage is two to four tablets taken two times a day. It is recommended that the tablets be stored in a container at room temperature. The medication is distributed by Westminster Pharmaceuticals, LLC based in Nashville, TN, and manufactured by Hangzhou Minshen Biological Pharmaceutical Co. It comes in a bottle with 500 tablets and has an NDC number of 69367-256-05.*
methocarbamol structure - metho 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.