Product Images Sleepy Jr
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Product Label Images
The following 2 images provide visual information about the product associated with Sleepy Jr NDC 68703-316 by Silver Star Brands, 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 text is a description of a health product by Native Remedies. The product is a homeopathic remedy that relieves occasional restlessness and sleeplessness in toddlers and children. It contains natural ingredients formulated by experts in the field and meets the highest pharmaceutical standards for maximum safety and effectiveness. The remedy does not contain any artificial flavors, gluten, or solvents. It comes in a tablet form and is taken every night before bedtime until a regular sleep pattern is established. The tablets are dissolved in the mouth or crushed and mixed in warm water or soft food. Warnings are given on the label, advising to consult a healthcare professional if symptoms persist or worsen and to keep the medication out of reach of children. The text includes information about the distributor, SilverStar Brands, located in Oshkosh, WI.*
This is a product description of a homeopathic remedy medication for toddlers and children experiencing occasional restlessness and sleeplessness. The product is formulated by experts and contains various active homeopathic ingredients. The product contains no artificial flavors, solvents, and gluten. The medication can be dissolved in the mouth or mixed with warm water or soft food. The recommended dosage varies based on age. The product should be kept out of children's reach and near pregnant or breastfeeding women's sight. If symptoms persist, a healthcare professional should be consulted. For more information on the product, interested persons can check the website of the manufacturer.*
* 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.