Product Images Sunplus Sunscreen Laguna

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Product Label Images

The following image provide visual information about the product associated with Sunplus Sunscreen Laguna NDC 65112-263 by I Shay Cosmetics 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.

label - laguna1

label - laguna1

LAGUNA and SUNPLUS are sunscreen brands with broad-spectrum SPF 40 for all-over body and face protection from the sun's harmful rays. The LAGUNA brand is a luxurious lotion-like sunscreen that nourishes the skin, while SUNPLUS is a balanced approach to sun care that enhances every lifestyle, from the active to the relaxed, and is water-resistant for up to 80 minutes. SUNPLUS is made for everyday adventures, from sea to summit, and is born and raised under the Southern California sun. The sunscreen products contain the active ingredients Octinoxate 7.5% and Octisalate 5%. The sunscreen protects from sunburn, photodamage, skin cancer, and early aging caused by sun exposure. This product is not for use on damaged or broken skin. Users should avoid contact with eyes, rinse with water to remove, and discontinue use and consult a doctor if a rash or irritation occurs. Children under six months should seek advice from their doctor. Apply to dry skin 15 minutes before sun exposure, reapply every two hours or after 80 minutes of swimming or sweating and immediately after towel drying. Users should limit time in the sun, especially from 10 am to 2 pm, and wear long-sleeved shirts, pants, hats, and sunglasses. The sunscreen products are free from oil, gluten, and parabens, and are made from skin superfoods and moisturizing ingredients like capric/caprylic glycerin, grape seed oil, chamomile, and hyaluronic acid. LAGUNA and SUNPLUS are made in Southern California.*

* 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.