Sertraline Hcl Capsule
Product Images NDC 52427-672

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Sertraline Hcl (NDC 52427-672). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Almatica Pharma Llc, 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

Principal Display Panel (150 mg)

Sertraline HCI is a medication in capsule form used to treat major depressive disorder, obsessive-compulsive disorder, panic disorder, social anxiety disorder, and post-traumatic stress disorder. Each capsule contains 168mg of sertraline hydrochloride, USP which is equivalent to 150mg of sertraline. It should be stored at 20-25°C (68-77°F), with short excursions allowed up to 15-30°C (59-86°F), and the prescribing information should be followed. Each patient should be provided with the accompanying Medication Guide. The manufacturing company is Almatica Pharma LLC located in Morristown, NJ, USA. It contains FD&C Yellow No. 5 as a color additive.*

FDA Label Image

Principal Display Panel (200 mg)

This is a prescription drug with the NDC code 52427-672-30. Each capsule contains 224 mg of Sertraline hydrochloride, USP which is equivalent to 200mg of Sertraline. The recommended dosage is available in the accompanying prescribing information. It is recommended to store it at room temperature (20°C to 25°C) and avoid excursions between 15°C to 30°C. Dispense the accompanying medication guide to each patient. This product contains FD&C Yellow No. 5 (Tartrazine) as a color additive. It is distributed by Almatica Pharma LLC, located at Morristown, NJ 07960 USA. The revision date for the 30 capsules is October 2021.*

FDA Label Image

Chemical Structure (Structure)

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