Product Images Methocarbamol

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Product Label Images

The following 3 images provide visual information about the product associated with Methocarbamol NDC 76385-123 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 100 Count Bottle Label - 500mg container

500 mg 100 Count Bottle Label - 500mg container

This is a description of medication containing methocarbamol in tablet form. Each tablet contains 500 mg of the active ingredient. The recommended dosage is two to four tablets taken four times a day as per the accompanying literature. The tablets should be stored in a container at a controlled temperature between 20°C and 25°C. The medication has been distributed by Bayshore Pharmaceuticals LLC based in Short Hills, NJ. The label shows that the medication is manufactured by Beximco Pharmaceuticals LTD based in Bangladesh. The National Drug Code (NDC) for the medication is 76385-123-01, and it comes in a container with 100 tablets.*

750 mg 100 Count Bottle Label - 750mg container

750 mg 100 Count Bottle Label - 750mg container

This is a description of a medication called Methocarbamol Tablets USP. It contains 750 mg of Methocarbamol per tablet and the recommended dosage is two tablets three times daily. This information is accompanied by a note to refer to the descriptive literature provided. The medication should be stored in a room with a controlled temperature between 20°C and 25°C (68°F and 77°F) and dispensed in a tight container. The tablets are distributed by Bayshore Pharmaceuticals LLC and have an NDC code of 76385-124-01. The tablets have been manufactured by BEXIMCO PHARMACEUTICALS LTD, located at 126, Kathaldia, Tongi, Gazipur, 1711, Bangladesh.*

structure - structure

structure - 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.