Product Images Lubiprostone

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Lubiprostone NDC 69339-163 by Natco Pharma Usa 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.

Luboprostone-8mg-Carton - lubiprostone 8mcg carton

Luboprostone-8mg-Carton - lubiprostone  8mcg  carton

DASH-DOSE Lubiprostone Capsules are institutional-use only soft gel capsules containing 8mcg of Lubiprostone. These capsules should be swallowed whole and not broken apart or chewed. They should be kept in the light-resistant blister until dispensed and stored at 20-25°C, with excursions permitted between 15-30°C. Extreme temperatures should be avoided. The product should be kept out of the reach of children. The package insert should be read for more information. The manufacturer is DASH Pharmaceuticals LLC, located in Upper Saddle River, NJ 07458. This information was last revised in March 2022.*

Lubiprostone-24mcg-carton - lubiprostrone 24mcg carton

Lubiprostone-24mcg-carton - lubiprostrone 24mcg carton

DASH-DOSE is a prescription medication in the form of soft gel capsules containing Lubiprostone. It is only available for institutional use and is packaged in a light-resistant blister. Each capsule contains 24mg of Lubiprostone, which should be swallowed whole without breaking or chewing. The recommended storage temperature ranges from 20° to 25° Celsius, with excursions permitted between 15° to 30° Celsius. Protect the medication from extreme temperatures and keep it out of reach of children. The manufacturer of DASH-DOSE is Dash Pharmaceuticals LLC, based in Upper Saddle River, NJ. For more information, refer to the package insert.*

Lubiprostone-Structure - structure

Lubiprostone-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.