Product Images Palforzia (level 9)
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Product Label Images
The following 12 images provide visual information about the product associated with Palforzia (level 9) NDC 71881-109 by Aimmune Therapeutics, 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.
This appears to be a product description, containing information about a medication for peanut allergies. The product is called Palforzia, and is a powder for oral consumption. The description outlines the initial dose escalation process, as well as precautions and instructions for administration. The text also warns against swallowing capsules and inhaling the powder.*
This is a medication guide for a product called "Storages efigete st 210°C". The guide includes instructions on the daily dose pack, which contains powder for oral administration. It warns of the presence of peanut allergen powder and offers dosage information, as well as a caution to keep out of reach of children. However, the results contain many errors, making some of the text illegible and difficult to understand.*
This is a description of a medication called "Palfozia" in powder form for oral administration to treat peanut (Arachis hypogaea) allergies. The daily dose pack contains 120mg. Detailed information is available in the medication guide. Storage should be at room temperature.*
This is a medication label indicating the storage and composition of a powder for oral administration called Palfozia for individuals who are allergic to peanuts. The medication is manufactured by Aimmune Therapeutics in Bisane, CA. The label provides information including the daily dose pack of 160mg and warns the user not to exceed the recommended dosage. The label does not provide usage instructions or indications, and it advises the user to refer to the medication guide for more detailed information.*
* 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.