00093585101
Escitalopram
Product Images NDC 67296-1731
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 6 technical images submitted to the FDA as part of the official labeling for Escitalopram (NDC 67296-1731). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Redpharm Drug, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Label (67296 1731)
This is a prescription medication called Escitalopram. The NDC number is 67296-1731-3, and the lot number is A90439X2. The medication contains 10mg of the drug, and there are 30 tablets in the container. The usual adult dosage is found in the package insert. The medication should be stored at a controlled room temperature of 20-25 degrees Celsius. The medication is manufactured by Mig Cipla LTD in Kurkumbh India and is distributed by Redpharm Drug in Eden Prairie, MN, USA. This medication requires a prescription and should only be used under a doctor's supervision. The expiration date is 12/20.*
Structural Formula (Image 1)
This text is not available for description as it does not provide sufficient information for me to work with. It consists of just two letters - "OH".*
Escitalopram Tablets Usp 5 mg 100s Label (Image 2)
This is a description for a medication guide for Escitalopram tablets USP. It is recommended to see the package for the usual dosage of the medication. The tablets contain Escitalopram olats, USP, equivalent to 5mg of Escitalopram. The guide also includes a warning to keep the medication away from children. The manufacturer is MHDRUGS/PDI46, located in India. The Rev. D date is 12/2015.*
Escitalopram Tablets Usp 10 mg 100s Label (Image 3)
Escitalopram Tablets Usp 20 mg 100s Label (Image 4)
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
