Product Images Allergy Relief

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Product Label Images

The following 3 images provide visual information about the product associated with Allergy Relief NDC 69517-106 by Healthlife Of Usa, 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.

Label 69517 106 06 Allergy Relief Diphen 25mg 600s

Label 69517 106 06 Allergy Relief Diphen 25mg 600s

This is a description of a medication used for allergy relief. Each tablet contains an active ingredient, Diphenhydramine HCI 25mg Antihistamine, and is used to temporarily relieve sneezing, runny nose, itchy/ watery eyes, nose or throat, and other upper respiratory allergies. It can also help relieve symptoms of cold such as sneezing and runny nose. People having trouble urinating due to an enlarged prostate gland, having glaucoma, or breathing issues need to ask a doctor before use. The recommended dose for adults and children over 12 is 1 or 2 caplets every 4 to 6 hours or as directed by a doctor. The medication may cause marked drowsiness and excitability, so it is advisable to avoid alcoholic drinks and be careful while operating heavy machinery. Pregnant or breastfeeding women should ask a health professional before use. This medication is distributed by HealthLife of USA LLC and cannot be used with any other product containing diphenhydramine.*

Label 69517 106 10 Allergy Relief Diphen 25mg 1000s

Label 69517 106 10 Allergy Relief Diphen 25mg 1000s

Allergy Relief - allergy relief

Allergy Relief - allergy relief

This is an advertisement for Diphenhydramine HCI 25 mg, an antihistamine used for allergy relief. The product packaging should be retained for complete drug facts. It relieves symptoms such as itchy, watery eyes, sneezing, and runny nose. There is also a table with some numbers and letters that do not appear to be relevant to the product description.*

* 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.