Lopinavir And Ritonavir Tablet, Film Coated
Product Images NDC 33342-164

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 5 technical images submitted to the FDA as part of the official labeling for Lopinavir And Ritonavir (NDC 33342-164). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Macleods Pharmaceuticals Limited, 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

288 (Formula)

FDA Label Image

534 (Lopinavir Ritonavir 100 25 60s Count)

534 (Lopinavir Ritonavir 100 25 60s Count)
This text provides information on a film-coated tablet containing Lopinavir (100 mg) and Ritonavir (25mg). It includes details for pharmacists such as not to cover the alert, proper storage conditions (20-25°C), and instructions for dispensing to patients. The tablets are manufactured by Macleods Pharma USA, Inc. and Macleods Pharmaceuticals Ltd. Contact details for more information are available at www.macleodspharma.com/usa.*
FDA Label Image

564 (Lopinavir Ritonavir 200 50 120s Count)

564 (Lopinavir Ritonavir 200 50 120s Count)
This text contains information about Lopinavir and Ritonavir Tablets, USP, used for specific medical conditions. It includes dosage instructions, storage recommendations, and where to find additional information for patients. It also highlights precautions for avoiding exposure to high humidity and not covering important alerts on the packaging. The product is manufactured by Macleods Pharma in the USA and dispensed in a tight container. For detailed prescribing information, reference the package insert provided by the manufacturer.*
FDA Label Image

Str-lopi (Lopinavir Ritonavir Str Lopi)

FDA Label Image

Str-rito (Lopinavir Ritonavir Str Rito)

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