Product Images Publix Fiber Therapy Orange Smooth

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Product Label Images

The following 2 images provide visual information about the product associated with Publix Fiber Therapy Orange Smooth NDC 41415-513 by Publix Super Markets, 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.

Publix Orange Smooth Psyllium Husk 48 Doses - 51372MJR

Publix Orange Smooth Psyllium Husk 48 Doses - 51372MJR

The text describes a Psyllium Husk Multi-Benefit Fiber Supplement that has multiple uses. The supplement helps in maintaining healthy blood sugar levels, lowering cholesterol to promote heart health, digestive health, promoting and maintaining regular bowel movements, and reducing hunger between meals. It is gluten-free and contains ingredients such as Psyllium Husk, Citric Acid, Natural and Artificial Orange Flavor, Silica, Sucrose, etc. The text provides directions on how to use the product and warning labels for potential risks such as choking hazards. Additionally, the text informs users to seek medical attention if they experience chest pain, vomiting, or difficulty swallowing or breathing after taking the product.*

Publix Orange Smooth Psyllium Husk 72 Doses - 51572PVLR

Publix Orange Smooth Psyllium Husk 72 Doses - 51572PVLR

The text describes a daily fiber supplement made from psyllium husk, which offers multiple benefits such as helping feel less hungry, maintaining healthy blood sugar levels, promoting digestive health and helping to lower cholesterol to promote heart health. It is available in natural and artificially flavored orange, gluten-free, and has instructions for daily intake. Possible side effects are minor bloating, abdominal pain, nausea, and vomiting. It may cause choking if not taken with enough liquid and has instructions and warnings for first-time users.*

* 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.