Product Images Lubiprostone

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Product Label Images

The following 3 images provide visual information about the product associated with Lubiprostone NDC 70710-1642 by Zydus Pharmaceuticals Usa Inc., 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 - f06e99fa 9894 48ab 99d8 914987dbb73f 01

Image - f06e99fa 9894 48ab 99d8 914987dbb73f 01

8 mcg label - f06e99fa 9894 48ab 99d8 914987dbb73f 02

8 mcg label - f06e99fa 9894 48ab 99d8 914987dbb73f 02

Lubiprostone is a medication available in the form of capsules containing 8mg of ubprostone, to be swallowed whole and not chewed or broken apart. A total of 60 capsules are provided in each package, and the recommended dosage should be consulted on the package insert before use. The container must be protected from extreme temperatures and kept tightly closed. The medication is manufactured by Zydus Lifesciences Ltd. in Ahmedobad, India, and distributed by Zydus Pharmaceuticals (USA) Inc. in Pennington, NJ. The package is child-resistant and should be kept out of reach of children.*

24 mcg label - f06e99fa 9894 48ab 99d8 914987dbb73f 03

24 mcg label - f06e99fa 9894 48ab 99d8 914987dbb73f 03

This is a description of Lubiprostone capsules, which are only available through prescription. Each capsule contains 24 meg of Lubiprostone and should be swallowed whole without breaking apart or chewing. The usual dosage can be found in the package insert for complete prescribing information. The package is child-resistant, must be stored between 15°C to 30°C (59°F to 86°F), and protected from extreme temperatures. The container should be kept tightly closed and stored out of reach of children. Lubiprostone is manufactured by Zydus Liescinces Ltd. located in Ahmedabad, India, and distributed by Zydus Pharmaceuticals (USA) Inc. located in New Jersey.*

* 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.