Escitalopram Tablet, Film Coated
Product Images NDC 68001-591

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Escitalopram (NDC 68001-591). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Bluepoint Laboratories, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Bottle Label Escitalopram Tablets 5 mg 100 Count (027b5d2f 1ac2 4e69 Bec8 C078f02ca657 02)

FDA Label Image

Bottle Label Escitalopram Tablets 10 mg 100 Count (027b5d2f 1ac2 4e69 Bec8 C078f02ca657 03)

Bottle Label Escitalopram Tablets 10 mg 100 Count (027b5d2f 1ac2 4e69 Bec8 C078f02ca657 03)
This text appears to be the description for a medication called "Escitalopram Tablets, USP." Each tablet contains 10 mg of Escitalopram oxalate. The usual dosage information is not provided in the text; it advises to refer to the package insert for full prescribing information. The medication should be kept out of reach of children and dispensed in a tight container as described in the USP. It should be stored at a temperature range of 20°C to 25°C (68°F to 77°F), with excursions permitted to 15°C to 30°C (59°F to 86°F). The medication is manufactured by Zhejiang Huahai Pharmaceutical Co., Ltd. in China for BluePoint Laboratories. The revision date is 03/2023. The NDC number for the medication is 68001-592-00, and it is for prescription use only. Additionally, the text suggests printing the Medication Guide from the website www.solcohealthcare.com/medguide/escitalopram-tablets-BPL.pdf.*
FDA Label Image

Bottle Label Escitalopram Tablets 20 mg 100 Count (027b5d2f 1ac2 4e69 Bec8 C078f02ca657 04)

FDA Label Image

Structural Formula (Structure)

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.