Product Images Duloxetine
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Product Label Images
The following 11 images provide visual information about the product associated with Duloxetine NDC 70710-1539 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.
This text provides information on the percentage of patients who experienced an improvement in pain from their baseline after taking a medication referred to as "DU" at a dosage of "mg once daily." The chart shows that 20-30% of patients saw improvement in their pain levels.*
This text appears to be a label description for a medication containing duloxefine hydrochloride. It includes information on the dosage, usage instructions, and manufacturers of the medication. The label warns to keep the drug out of reach of children and to store it in a tightly sealed container. The lot number and expiration date are also provided.*
This is the coding template for duloxetine capsules with NDC 7071015383. Each capsule contains 337mg of duloxetine hydrochloride, USP equivalent to duloxetine 30g. It is a delayed-release capsule and should be stored at 20°C to 25°C. It is manufactured by Cadia Healthcare Ltd and distributed by Aduo Pharmaceuticals (USA) Inc. Complete prescribing information is available upon request. Keep this drug out of the reach of children.*
This is a prescription drug label for Duloxetine Hydrochloride delayed-release capsules. Each capsule contains 67.3mg of duloxetine hydrochloride, equivalent to duloxetine 60mg. The usual dosage is advised to be prescribed by a healthcare professional. The drug should be stored between 20° to 25°C (68° to 77°F) and must be kept out of reach of children. It is manufactured by Cadia Healthcare Ltd in Ahmedabad, India, and distributed by 2Zydus Pharmaceuticals (USA) Inc. The label also includes NDC number 70710-1539-3.*
* 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.