Product Images Misoprostol

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Misoprostol NDC 59762-5008 by Greenstone 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.

Chemical Structure - misoprostol 01

Chemical Structure - misoprostol 01

Logo - misoprostol 02

Logo - misoprostol 02

This is a short text describing the distribution of a brand called "Greenstone". The company distributing the brand is "Greenstone LLC", located in Peapack, NJ 07977.*

PRINCIPAL DISPLAY PANEL - 100 mcg Tablet Bottle Label - misoprostol 03

PRINCIPAL DISPLAY PANEL - 100 mcg Tablet Bottle Label - misoprostol 03

This is a medication with the brand name Greenstone, containing Misoprostol in 100 micrograms per tablet. The package contains 120 tablets with dosage information in the accompanying literature. The medication should be dispensed by the pharmacist in a unit-of-use container that is child-resistant with a patient leaflet attached. It should be stored in a dry area at or below 25°C. The medication is distributed by Greenstone LLC, located in Peapack, NJ 07977, and is made in the United Kingdom. The NDC (National Drug Code) for the medication is 59762-5007-2.*

PRINCIPAL DISPLAY PANEL - 200 mcg Tablet Bottle Label - misoprostol 04

PRINCIPAL DISPLAY PANEL - 200 mcg Tablet Bottle Label - misoprostol 04

This is a package of Misoprostol tablets, distributed by Greenstone LLC in the United States. The package contains 100 tablets, and the recommended dosage for adults is not provided - it is detailed in the accompanying literature. The tablets are to be dispensed in their original container and should be stored at room temperature. The package insert should be referred to for complete information about the product.*

* 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.