Product Images Notasan

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Notasan NDC 73479-030 by Sanpharmacy Inc., such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

NotaSAN 30 capsules label - SPY NotaSAN 30 capsules Etikett EN 110X28

NotaSAN 30 capsules label - SPY NotaSAN 30 capsules Etikett EN 110X28

NotaSAN 30 capsules outer packaging - SPY NotaSAN 30 capsules Verpackung EN 40X40X65

NotaSAN 30 capsules outer packaging - SPY NotaSAN 30 capsules Verpackung EN 40X40X65

This is a description of a homeopathic medicine called NotaSAN, produced by sanPharmacy Inc. It comes in the form of capsules and is used for relief of symptoms related to bacterial infections, respiratory infections, inflammation, the common cold, and earaches. The active ingredient is Penicillium notatum (chrysogenum) 4X, which helps relieve nasal congestion, fever, aches, and pains. The medicine should be taken as directed, which is one capsule three times a week, at least one hour before eating. It is important not to exceed the recommended dosage. Pregnant or breastfeeding individuals should consult a healthcare professional before using. The medicine should be kept out of reach of children, and in case of overdose, medical help or contact with a Poison Control Center is necessary. If symptoms persist for more than 5 days, it is advised to contact a licensed practitioner. The product should not be used if the tamper-evident seal is broken. To report adverse events, MEDsan Inc. can be contacted at 1-855-462-6334. The product should be protected from light and heat and is manufactured in the USA. Please note that these statements and claims are based on traditional homeopathic practice and have not been reviewed by the Food & Drug Administration.*

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.