Product Images Escitalopram

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Product Label Images

The following 4 images provide visual information about the product associated with Escitalopram NDC 70518-2317 by Remedyrepack 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.

Escitalopram 20mg 70518 2317 01

Escitalopram 20mg 70518 2317 01

Escitalopram is a prescription medicine. The NDC number is 70518-2317-01 and the lot number and expiry date are not available. The medication is manufactured by Sclco, Cranbury, NJ 08512 and repackaged by RemedyRepack Inc., Indiana, PA 15701. The medicine should be stored at a temperature between 20-26°C (63-77°F) and kept out of reach of children. Directions for use can be found in the package insert.*

Escitalopram 20mg 70518 2317 02

Escitalopram 20mg 70518 2317 02

This is a medication called Escitalopram available only with a prescription. It comes in a specific NDC number and LOT number. The medication was manufactured by Sclco in Cranbury, NJ, and repackaged by RemedyRepack Inc. in Indiana, PA. The package insert should be referred to for directions on how to use it. The medication should be stored at a temperature of 20-26°C.*

Remedy_Label - Remedy Label

Remedy_Label - Remedy Label

Escitalopram is a prescription drug manufactured by Sclco in Cranbury, NJ. The drug is available in packages with NDC# 70518-2317-00 and is recommended for use as directed in the accompanying package insert. The drug should be stored at temperatures between 20-26°C (63-77°F) with excursions allowed up to 15-30°C (59-86°F) [See USP]. The lot number and expiration date are not available, and the drug should be kept out of reach of children. The packaging was done by RemedyRepack Inc. in Indiana, PA.*

Structural Formula - structure

Structural Formula - 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.