Unda 700 Liquid
Product Images NDC 62106-1171

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Unda 700 (NDC 62106-1171). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Seroyal Usa, 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

Ndc (700 20u Box)

Ndc (700 20u Box)
Seroyal is a homeopathic medication made in Belgium by UNDA and distributed by Seroyal USA. The product is designed to provide temporary relief from low energy and fatigue-related symptoms. The medication comes in a 0.7 fl oz (20 mL) bottle and contains 31% alcohol. The medication's active ingredients consist of Berberis vulgaris (Barberry) Bark 4X and Calcarea fluorica (Calcium fluoride) 12X. It's recommended to take 5 drops three times a day, or as advised by your healthcare practitioner. It is important to ask a health professional before usage if pregnant or breastfeeding. The product is not supported by clinical trials and is not evaluated by the Food and Drug Administration (FDA). If symptoms persist or worsen, it is advised to stop use and ask a doctor.*
FDA Label Image

62106-1169 (Unda 312)

62106-1169 (Unda 312)
This is a Drug Fact label containing information about a homeopathic preparation that provides temporary relief for symptoms related to sore throat. The product is recommended for adults and children over 12 years old and should be taken as directed by a healthcare practitioner. The label lists active ingredients and their purposes, as well as warnings and precautions to consider before use. Additionally, the label provides information on how to store the product and its expiration date.*

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