10 (Hydroxychloroquine Sulfate Tablets Usp 1)
Hydroxychloroquine Sulfate Tablet, Film Coated
Product Images NDC 69238-1544
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Product Visual Gallery
This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Hydroxychloroquine Sulfate (NDC 69238-1544). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Amneal Pharmaceuticals Ny 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.
1 (Hydroxychloroquine Sulfate Tablets Usp 2)
Description: Hydroxychloroquine Sulfate Tablets, USP is a prescription medicine that contains Hydroxychloroquine sulfate (200mg) as an active ingredient. It is used for the treatment of certain diseases like malaria, lupus erythematosus, and rheumatoid arthritis. The tablets are packed in a container with 100 tablets and should be stored at 20° to 25C (68° to 77°F). It is essential to keep the tablets out of children's reach as children are especially sensitive to this medication. The manufacturer is Arneal Pharmaceuticals Pyt L from Anmedabad, India and is distributed by Amneal Pharmaceuticals LLC from Bridgewater, NJ.*
Hydroxychloroquine Sulfate Tablets Usp 3
This is a medication with the National Drug Code (NDC) 69238-1544-5 that contains 200 mg of hydroxychloroquine sulfate USP per tablet. The recommended dosage and indications are stated in the package insert. The tablets should be stored between 20° to 25°C (68° to 77°F) and not above 15° to 30°C (59° o 86°F) in a tightly closed container that is resistant to light as described in the USP. The manufacturer of the product is Amneal Pharmaceuticals Pvt. Ltd. in Anmedabad, India, and the product is dispensed as an oral solid dosage unit. The medication should be kept away from children as they are particularly sensitive to it.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
