Abstract
Introduction.
Flavor additives are commonly used in combustible tobacco products to mask harshness and increase appeal. However, research on the availability of flavored waterpipe tobacco (WT) is lacking, yet is important to support implementation of policies.
Methods.
We completed a comprehensive online search in 2020 to identify WT brands and flavors sold online in the USA. We conducted a descriptive content analysis categorizing flavors as explicit (i.e., clear taste/flavor) or concept (i.e., no clear taste/flavor); and coded for 23 flavor descriptors (e.g., fruit, mint/menthol, tobacco). Flavor names were double-coded and discrepancies were resolved by a third coder.
Results.
We identified 66 WT brands with 118 product lines (i.e., sub-brands). We found 2,953 flavors, including 1,871 unique flavors. Brands averaged 45 flavors (range: 1–183). Almost three quarters (73.5%, n=2,171) used explicit flavor names and 26.5% (n=782) used concept flavor names. Concept flavors varied widely, and included names such as 1001 Nights and California Dream. The most common flavor descriptors were fruit (54.1%) and mint/menthol (12.5%). Tobacco was rarely (0.2%) used as a flavor descriptor. Flavor descriptors also included location (10.7%), color (11.1%), candy (6.3%), cool/ice (5.3%), and alcohol (5.5%).
Conclusions.
WT is available in 1,871 unique flavors, likely contributing to product appeal and use. Like other tobacco products, fruit and mint/menthol are common flavors. Given the significant health consequences associated with WT smoking and the role of flavors in product use, regulatory action specifically targeting WT flavors is urgently needed.
Keywords: Non-cigarette tobacco products, Packaging and labelling, Tobacco industry
Introduction
Waterpipe tobacco (WT) smoking is a centuries-old practice, known across the world by many names, including hookah, narghile, and hubble-bubble (Maziak, Eissenberg, & Ward, 2005). WT smoking involves the passage of air heated by charcoal, through the tobacco then through water or another liquid prior to inhalation. The introduction of flavored WT, a mixture of shredded tobacco with honey or molasses and dried fruit and flavorings, escalated the spread of WT smoking worldwide beginning in the 1990s (Maziak, Ward, Afifi Soweid, & Eissenberg, 2004; Rastam, Ward, Eissenberg, & Maziak, 2004).
WT smoking remains a public health concern, especially among young adults ages 18–24, who, compared to adults over 25, have the highest rates of ever (47.5% vs. 15.5%), past year (25.8% vs. 3.5%), and past 30-day use (9.2% vs. 1.2%) in the USA (Sharma et al., 2020). Those who use WT are exposed to high levels of toxicants, including carcinogenic polycyclic aromatic hydrocarbons, carbon monoxide, heavy metals, and volatile aldehydes (Al Rashidi, Shihadeh, & Saliba, 2008; Daher et al., 2010; Eissenberg & Shihadeh, 2009; Maziak et al., 2009; Shihadeh, 2003; Shihadeh et al., 2015). Exposure to these toxicants results in many of the same health harms as from use of other forms of combustible tobacco (Mamtani et al., 2017; Montazeri, Nyiraneza, El-Katerji, & Little, 2017; Raad et al., 2011; Waziry, Jawad, Ballout, Al Akel, & Akl, 2017). Even infrequent WT smoking is associated with negative health harms, such as lung-related abnormalities and arterial stiffness (Rezk-Hanna et al., 2018; Yano et al., 2015). Moreover, those who use WT are exposed to nicotine, potentially leading to dependence. Growing evidence indicates that WT smoking is prospectively associated with initiation of cigarette smoking, putting young adults at greater risk for cancer (Soneji, Sargent, Tanski, & Primack, 2015; Watkins, Glantz, & Chaffee, 2018).
The availability of WT in the USA is not well understood. WT is not sold in traditional retail outlets that sell other tobacco products, including convenience stores, pharmacies, grocery stores, and warehouse clubs. Therefore, Nielsen scanner data cannot provide brand availability and sales data. Instead, WT is sold in smoke shops, stores that allow WT smoking onsite, such as hookah bars and cafés, and online (King, Merten, & Nicksic, 2021; Tanski et al., 2019). To our knowledge, no study has identified the number of WT brands, product lines or sub-brands, and flavors sold online in the USA, limiting a full understanding of the WT marketplace.
Flavors are added to combustible tobacco products to mask the harshness or throat irritation from smoke and improve the taste (Carpenter, Wayne, Pauly, Koh, & Connolly, 2005; Cummings, Morley, Horan, Steger, & Leavell, 2002). Flavored tobacco may encourage initiation and continued use, especially among adolescents and young adults (Ambrose et al., 2015). Data from the first wave of the Population Assessment of Tobacco and Health (PATH) found that among people who have ever smoked WT, 89% of adolescents (12–17), 89% of young adults (18–24), and 75% of adults 25 years or older initiated use with flavored tobacco (Villanti, Johnson, et al., 2017). Among all age groups, the availability of WT in flavors was the second most endorsed reason for use, behind socialization. The tobacco industry has long known and capitalized on the appeal of flavored tobacco products, especially for youth. Tobacco industry documents revealed that as early as 1972, tobacco companies focused on flavors when developing concepts for new youth-focused cigarettes, “It’s a well-known fact that teenagers like sweet products. Honey might be considered.” (Marketing Innovations Inc. Project Report, 1972).
The WHO Framework Convention on Tobacco Control (FCTC) is the first international treaty developed to address the global epidemic of tobacco. In guidelines for implementation of Articles 9 and 10, it is recommended that flavor prohibitions or restrictions are introduced to reduce product appeal (WHO Framework Convention on Tobacco Control, 2017). The USA Food and Drug Administration (FDA) asserted regulatory authority over WT when the final deeming rule was issued in 2016. This rule extends the authority of the FDA granted in the Family Smoking Prevention and Tobacco Control Act (FSPTCA) passed in 2009. Under the FSPTCA, the FDA has the authority to implement product standards for the protection of public health. The FDA issued a product standard to ban characterizing flavors, excluding menthol and tobacco, in cigarettes, but no product standard exists for non-cigarette tobacco products. In April 2022, the FDA announced two proposed rules: one to prohibit menthol in cigarettes and a second to ban all characterizing flavors, including menthol, in cigar products (USA Department of Health and Human Services, Food and Drug Administaion, Center for Tobacco Products, 2022). However, WT was not included in either proposed rule.
In the absence of a USA federal flavor ban on tobacco products, states and localities have enacted local and statewide prohibitions on the sale of flavored tobacco products (Gammon et al., 2019). Recent research has documented an increase in the use of concept flavors, perhaps in response to increasing local and statewide flavor prohibitions (Gammon et al., 2019). Concept flavors do not include a specific flavor or known taste (e.g., Exotic Pink), which are typically the target of local regulations (Truth Initiative, 2021). The tobacco industry has a long history of modifying product characteristics, labeling, or packaging to avoid restrictions (Truth Initiative, 2021). One study found that seven years after the implementation of a flavor ban in New York City, 70.9% of retailers sold non-cigarette tobacco products with concept flavor names that had not been on the market prior to policy implementation, suggesting that the tobacco industry is deliberately using concept flavors to circumvent local flavor restrictions. However, limited research has examined the extent to which WT products use concept flavor names, nor have studies described the flavors available on the market in the USA To address this gap, we sought to quantify the number of flavored WT products available online and to describe the types and frequencies of those flavors, including the use of concept flavors.
METHODS
Brand Identification.
We conducted a census of all WT tobacco brands sold online in the United States in January-March 2020, based on a similar strategy used for identification of e-cigarette brands (Zhu et al., 2014). First, we searched five third-party websites (hookah-shisha.com, southsmoke.com, hookahcompany.com, thehookah.com, hookahjohn.com) and documented brand names (e.g., Starbuzz), individual product lines or sub-brands (e.g., Starbuzz Bold, Starbuzz Exotic), and flavor names available for sale at that point in time. To confirm no brands were missing, we conducted a Google search for “hookah tobacco” and reviewed the first 10 pages of search results (approximately 100 links) for additional brands (Jackler, VanWinkle, Bumanlag, & Ramamurthi, 2018; Zhu et al., 2014). We also reviewed the adult and youth Wave 4 surveys of the PATH study and included brands reported by participants if they were not already in the sample.
Codebook Development and Content Analysis.
We conducted a descriptive content analysis to capture the types of flavors used across WT brands, following best practices developed by Riffe, Lacy, and Fico (Riffe, Lacy, & Fico, 2014). The study team developed a codebook that included flavor type (explicit or concept) and flavor descriptors, described below. Three researchers were trained on the codebook and practiced coding fictitious flavors. Codes for each flavor were discussed and the codebook was revised as needed to provide further clarity. After training was completed, all flavors were independently double-coded and a third trained coded resolved any discrepancies.
Flavor Type.
Each flavor name was coded as either an explicit flavor or a concept flavor. An explicit flavor referred to a flavor that could be identified as a specific taste, such as apple, mint, or coffee. A concept flavor was a flavor that could not be easily identified as a specific taste or flavor (e.g., Aloha)(Rogers et al., 2020). If a flavor name included both a concept and explicit flavor component, it was coded as explicit. For example, although Earth Mint includes a concept flavor component (Earth), the explicit flavor component (Mint) prompts the consumer to identify this product as a variation of mint flavor – a known taste. Thus, these types of flavor names were coded as explicit flavors. However, if a flavor name included a general term, such as Candy Crush, rather than a specific type, it was considered a concept flavor.
Flavor Descriptors.
For both types of flavors, we also coded the presence of 23 flavor descriptors: fruit, mint, spice, herb, floral, candy, baked dessert/sweets, coffee/tea/cocoa, other beverage (non-alcoholic), alcohol, cool/ice, tobacco, sexual innuendo, marijuana, mythical, animals, energizing, time of day, time of year, location/place, quality, color, and sensation/emotion. This list of 23 flavor descriptors was developed based on a review of WT flavors from a pilot study that included one hundred flavors. If the flavor could not be coded into any of the 23 flavor descriptors, it was coded as ‘other.’ Flavor names could include a single or multiple descriptors. The results of the content analysis were reviewed by the team, and two flavors were manually recoded under the team’s discretion: ‘eucalyptus’ was recoded as herb instead of mint, and ‘licorice’ and its variants were recoded as candy instead of herb.
Analysis.
The goal of the analysis was to describe the flavors available in WT brands; therefore, we computed frequencies and percentages for all coded data. We report the overall percentage of each of the 23 flavor descriptors and the percentage of brands with each flavor descriptor. For each flavor descriptor, we also report the percentage of flavor names coded as explicit and concept flavors.
RESULTS
The census included 66 WT tobacco brands with 118 product lines. There were 2,953 flavors, including 1,871 unique flavors (Table 1). Brands averaged 45 flavors, but there was a very wide range (1–183).
Table 1.
WT brands, product lines, and flavors
| Brand Names (n=66) | Product Line Names | Product Lines (n=118) | Flavors Per Brand (n=2953) |
|---|---|---|---|
| 360 | Cosmic Series, Classic Series | 2 | 23 |
| Adalya | Original | 1 | 45 |
| Afzal | Original | 1 | 53 |
| Agera | Original | 1 | 15 |
| Al Amir | Original | 1 | 58 |
| Al Fakhamah | Original, Dark | 2 | 16 |
| Al Fakher | Crafted Batch, Golden, Special Edition, Standard Range | 4 | 104 |
| Al Waha | Elite Edition | 1 | 35 |
| Alchemist Blend | Original Blend, Kentucky Fire Cured, Stout, Straight | 4 | 41 |
| Amy Gold | Original | 1 | 10 |
| Argelini | Original Original | 1 | 9 |
| Ayam Zaman | Original | 1 | 7 |
| Azure | Black, Gold | 2 | 94 |
| Baja | Original | 1 | 8 |
| Black Lava | Original | 1 | 33 |
| Bon Bon | Original | 1 | 5 |
| Chaos | Original | 1 | 9 |
| Cloud | Original | 1 | 30 |
| Coco Nara | Original | 1 | 45 |
| Craft Xo | Original | 1 | 4 |
| DeCloud | Original | 1 | 13 |
| Eternal Smoke | Cool, Enjoy, Extreme, Guess What!, Mix, Romance | 6 | 30 |
| Fantasia | Original, Castros, Formula, Hydro, Ice | 5 | 134 |
| Fumari | Original | 1 | 47 |
| Gold Star | Original | 1 | 18 |
| Haze | Original, Cheech and Chong, Jazze Pha | 3 | 90 |
| Hollywood Hookah | Original | 1 | 5 |
| Hookafina | BLAK, Gold | 2 | 96 |
| Hookah-Hookah | Original, Freak | 2 | 57 |
| Hooked-On-Hookah | Original | 1 | 35 |
| Inhale | Original | 1 | 39 |
| Isfahani | Original | 1 | 1 |
| Jewels | Kasbah, Original | 2 | 20 |
| Karizma | Original | 1 | 28 |
| Karma | Original | 1 | 12 |
| Khalil Maamoon | Original | 1 | 26 |
| Lavoo | Dark Leaf, Heritage Reserve Dark Leaf | 2 | 24 |
| Layalina | Original, Golden, Ya Layl | 3 | 154 |
| Malaki | Molasses | 1 | 24 |
| Mazaya | Original | 1 | 96 |
| Moassel Saloum | Original | 1 | 1 |
| MYA | Original | 1 | 6 |
| Nakhla | Original, El Basha, Exotic, Mix, Mizo, Sheherazade, Tropicana | 7 | 89 |
| Nirvana | Eclipse, Othmani, Super Shisha | 3 | 40 |
| Nu | Original | 1 | 30 |
| Over Dozz | Original | 1 | 9 |
| Panorama | Original | 1 | 11 |
| Pharaoh’s | Original | 1 | 27 |
| Pure | Original, FML | 2 | 31 |
| Romman | Black, Golden | 2 | 80 |
| ROR | Original | 1 | 29 |
| Rosetta | Original | 1 | 15 |
| Serbetli | Original | 1 | 19 |
| Shisha Royale | Original | 1 | 19 |
| Shishapresso | Original | 1 | 6 |
| Social Smoke | Original | 1 | 78 |
| Starbuzz | Bold, Exotic, Serpent, Vintage | 4 | 181 |
| Tangiers | Birquq, Burley, F-Line, Noir | 4 | 183 |
| TickTock | Original | 1 | 107 |
| Tonic | Original | 1 | 92 |
| Trifecta | Blonde, Dark | 2 | 66 |
| Ugly | Original | 1 | 38 |
| Voodoo | Original | 1 | 14 |
| XOX | Original | 1 | 12 |
| Zomo | Black, Classic, Splash, Sport, Star, Strong, World | 7 | 122 |
| Zumerret | Black, Blue, Gold, Special Black | 4 | 55 |
Note. Original means either a single product line under the brand or the brand name was used as one of the product lines.
Flavor Type.
Of the identified flavors, 73.5% (n=2,171) were coded as explicit and 26.5% (n=782) as concept flavors. Most brands (89.3%) included explicit and concept flavor products, however, almost all brands (89.8%) had more explicit flavors than concept flavors. Examples of concept flavors (with brands) included WTF (Chaos), After Sex (Tonic), Purple Haze (Fantasia), Pandora’s Box (Social Smoke), Jack the Ripper (Starbuzz), and Dark Soul (Inhale).
Flavor Descriptors.
In addition to categorizing each flavor name as an explicit or concept flavors, flavors were coded into 23 flavor descriptors or an ‘other’ category. Table 2 describes the prevalence of each flavor descriptor in the full sample and by flavor type (explicit vs. concept). Below we review the 10 most prevalent flavor descriptors and a few others of interest.
Table 2.
Frequencies of flavor descriptors
| Rank | Flavor Descriptors | Frequency (N=2,953) | Percent of Total | Percent of Explicit | Percent of Concept | Examples |
|---|---|---|---|---|---|---|
| 1 | Fruit | 1598 | 54.1 | 71.9 | 4.9 | Apple, Forbidden Fruit |
| 2 | Mint/menthol | 368 | 12.5 | 17.0 | 0 | Chocolate Mint, Mint Knockout |
| 3 | Color | 328 | 11.1 | 10.0 | 14.2 | White Grape, Gold |
| 4 | Location/place | 317 | 10.7 | 6.0 | 23.8 | Bahrain Apple, Paradise |
| 5 | Other | 198 | 6.7 | 0.5 | 23.9 | Da Vinci, Zero Gravity |
| 6 | Candy | 180 | 6.1 | 7.0 | 3.5 | White Gummy Bear, Candy Crush |
| 7 | Alcohol | 161 | 5.5 | 6.5 | 2.6 | Margarita, Cocktail |
| 8 | Cool/Ice | 157 | 5.3 | 5.5 | 4.7 | Cool Lemon, Green Ice |
| 9 | Sensation/emotion | 136 | 4.6 | 3.5 | 7.8 | Berry Bliss, Euphoria |
| 10 | Spice (non-mint) | 119 | 4.0 | 5.2 | 0.8 | Cinnamon, Love Spice |
| 11 | Coffee/tea/cocoa | 103 | 3.5 | 4.5 | 0.5 | Cappuccino, Boston Tea Party |
| 11 | Other beverage | 103 | 3.5 | 4.1 | 1.7 | Cola, Aussie Juice |
| 13 | Mythical | 82 | 2.8 | 0.5 | 9.1 | Dragon’s Breath, Nectar of the Gods |
| 14 | Baked dessert/sweets | 79 | 2.7 | 3.5 | 0.4 | Blueberry Muffin, American Cake |
| 15 | Quality | 75 | 2.5 | 1.9 | 4.3 | Fancy Grape, 24 Karat |
| 16 | Sexual innuendo | 73 | 2.5 | 0.7 | 7.4 | Virgin Strawberry, Code 69 |
| 17 | Floral | 55 | 1.9 | 1.9 | 1.8 | Marigold, Cactus Blast |
| 18 | Time of day | 50 | 1.7 | 0.6 | 4.9 | Pineapple Sunrise, Miami Nights |
| 19 | Energizing | 49 | 1.7 | 0.6 | 4.6 | Cinnamon Blast, Shock Energy Drink |
| 20 | Time of year | 44 | 1.5 | 0.9 | 3.2 | Christmas Mix, Sweet Summer Sun |
| 21 | Animals | 37 | 1.3 | 0.3 | 3.8 | Amber Eagle, Flamingo |
| 22 | Herb | 9 | 0.3 | 0.4 | 0 | Lavender Mint, Jasmine |
| 23 | Tobacco | 6 | 0.2 | 0.1 | 0.4 | Sweet Cigar, Shisha on the Beach |
| 23 | Marijuana | 6 | 0.2 | 0.1 | 0.5 | Mary Jane, Purple Haze |
Fruit.
Fruit was the most common descriptor overall (n = 1,598; 54.1%) and almost all brands (93.9%) included at least one fruit flavor (Table 3). Just about three quarters (71.9%) of explicit flavors included a fruit descriptor, while only 4.9% of concept flavors included a fruit descriptor. A fruit flavor was only coded as a concept flavor when the flavor name included a generic term, such as Forbidden Fruit, rather than a specific fruit flavor, such as banana. Apple was the most used fruit flavor, appearing in 9.8% of the flavors coded as fruit. Lemon (8.1%), grape (7.5%), orange (6.2%), peach (5.9%), blueberry (5.7%), and strawberry (5.6%) were also common fruit flavors.
Table 3.
Percent of Brands (N=66) with One or More Flavors with Each Flavor Descriptor
| Flavor Descriptor | N (Percent) |
|---|---|
| Fruit | 62 (93.9) |
| Mint/menthol | 56 (84.8) |
| Color | 55 (83.3) |
| Location/place | 51 (77.3) |
| Other | 44 (66.7) |
| Candy | 42 (63.6) |
| Alcohol | 39 (59.1) |
| Cool/Ice | 39 (59.1) |
| Sensation/emotion | 37 (56.1) |
| Spice (other than mint) | 44 (66.7) |
| Coffee/tea/cocoa | 37 (56.1) |
| Other beverage (non-alcoholic) | 36 (54.5) |
| Mythical | 33 (50.0) |
| Baked dessert/sweets | 30 (45.5) |
| Quality | 32 (48.5) |
| Sexual innuendo | 26 (39.4) |
| Floral | 28 (42.4) |
| Time of day | 27 (40.9) |
| Energizing | 25 (37.9) |
| Time of year | 13 (19.7) |
| Animals | 20 (30.3) |
| Herb | 8 (12.1) |
| Tobacco | 6 (9.1) |
| Marijuana | 4 (6.1) |
Mint/Menthol and Cool/Ice.
Mint/menthol was the second most common flavor descriptor (n=368; 12.5%) and was used by 84.8% of all brands. No concept flavor was coded as mint/menthol because mint/menthol is an explicit flavor. Menthol was only used in six (1.2%) flavor names. In addition to mint/menthol, 157 (5.3%) of flavor names were coded as cool/ice and 59.1% of brands used this descriptor. Ice, cool, artic, breeze, and freeze/frozen were common terms used in this category. Together, 496 (16.7%) of the flavor names were coded as either mint/menthol or cool/ice.
Color and Location.
Eleven percent of flavors included a color descriptor (e.g., White Grape and Gold), including 10% of those coded as explicit flavors and 0.4% of those coded as concept flavors. Most brands (83.3%) included at least one flavor name with a color descriptor. Overall, 10.7% of flavors were coded as containing location descriptors (e.g., Bahrain Apple and Paradise), including 6.0% of those coded as explicit flavors and 23.8% of those coded as concept flavors. Over three-fourths of brands (77.3%) had at least one flavor that included a location descriptor.
Candy and Baked Goods/Sweets.
Candy descriptors were used in 180 (6.1%) of flavor names, including in 7.0% of those coded as explicit flavor and 3.5% of those coded as concept flavors. Gum was the most commonly used candy descriptor in 67 (25.9%) flavor names. Seventy-nine (2.7%) flavors were coded as baked goods or sweets, including 3.5% of those coded as explicit flavors and 0.4% of those coded as concept flavors. About two thirds of brands (63.3%) included at least one flavor with a candy descriptor and almost half (45.5%) had at least one flavor with a baked goods/sweets descriptor.
Beverage.
Beverages were used as flavor descriptors in 362 (12.2%) flavor names. These included 161 (5.5%) coded as alcohol (6.5% of explicit flavors; 2.6% of concept flavors), 103 (3.5%) coded as coffee, tea, or cocoa (4.5% of explicit flavors; 0.5% of concept flavors), and 103 (3.5%) coded as other non-alcoholic beverages (4.1% of explicit flavors; 1.7% of concept flavors). Coffee, tea, or cocoa descriptors were used by 56.1% of brands, alcohol descriptors were used by 59.1% of brands, and other (non-alcoholic) beverages were used by 54.5% of brands.
Sensation/Emotion.
Sensation and emotion descriptors were used in 4.6% of flavor names and over half of brands (56.1%). While only 3.5% of explicit flavors had sensation/emotion descriptors, 7.8% of concept flavors had this descriptor. Examples include Berry Bliss and Euphoria.
Spice.
Spices, other than mint, were used in 4.0% of flavor names, and were more common in explicit (5.2%) than in concept (0.8%) flavors. Two thirds of brands (66.7%) included at least one flavor name with a spice descriptor. Flavor names with a spice descriptor include Cinnamon and Love Spice.
Sexual Innuendo.
Although less common, sexual innuendo was used in 73 (2.5%) flavor names and 39.4% of brands had flavors coded as sexual innuendo. Sexual innuendo descriptors were more common in concept flavors (7.4%) than in explicit flavors (0.7%). The word sex was used explicitly in 14 flavor names. Flavor names also included euphemisms for sex such as Bump ‘n Grind, Afternoon Delight, and Get Lei’d.
Tobacco.
Tobacco was very rarely used as a descriptor in flavor names (n=6, 0.2%) and only 9.1% of brands included tobacco as a flavor descriptor. Flavor names included Sweet Cigar and Holy Shisha.
DISCUSSION
Our comprehensive online review resulted in 66 WT brands, including 118 product lines. To our knowledge, this study is the first to identify the number of WT brands, product lines, and flavors sold online in the USA. All tobacco manufacturers are required to register with the FDA and file a list of all tobacco products being manufactured, prepared, compounded, or processed by that company (USA Department of Health and Human Services, Food and Drug Administaion, Center for Tobacco Products, 2023). However, at the time of the study, the FDA registration list was not public. Therefore, this study is a critical step in understanding the landscape of available WT products sold online in the USA.
It is well understood that flavors influence perceptions of and experiences with tobacco products, leading to increased product appeal (Huang et al., 2017). A recent systematic review found that flavored tobacco products were perceived as having better taste, being less harmful, and were more appealing, especially for youth and young adults (Huang et al., 2017). In fact, the availability of WT in flavors plays an important role in use among youth and young adults (Huang et al., 2017). Our study found that WT sold online in the USA is available in over 1,800 unique flavors. Like other tobacco products, fruit and mint/menthol were the most commonly used descriptors. Fruit is a common flavor descriptor in many non-cigarette tobacco products and is often reported as the most utilized flavor across many products. For example, data from PATH Wave 3 show that among adults who smoke WT, fruit was the most commonly reported flavor (Schneller et al., 2020).
If the proposed product standards to eliminate menthol in cigarettes and all characterizing flavors in cigar products in the USA are finalized, this would leave WT as the only combustible product with characterizing flavors available on the USA market. This is concerning given that some people who smoke cigarettes or cigars may seek out WT as a substitution product since it will still be available in a wide variety of flavors. Several studies have demonstrated the potential for substitution after a flavor ban (Chaiton et al., 2020; Courtemanche, Palmer, & Pesko, 2017; Rossheim et al., 2020). For example, data from the National Youth Tobacco Survey found that in the four years following the ban of all flavors other than menthol for cigarettes, there was a 17% decrease in the current cigarette smoking prevalence among youth, but a 14% increase in cigar, smokeless tobacco, and pipe use (Courtemanche et al., 2017). These data suggest that flavor bans in one type of tobacco product may result in substitution of a different tobacco product that is still available in flavors. Given the impending product standards for cigarettes and cigars, and the available flavors in WT products, the FDA should consider implementation of product standards eliminating all flavors in WT so that no combustible products are available in flavors.
Just over a quarter of the flavors identified were concept flavors (26.5%) and most brands (89.3%) sold both concept and explicit flavors. Concept flavors have come under scrutiny for potentially being used by the tobacco industry to circumvent state and local policies prohibiting the sale of flavored tobacco (Gammon et al., 2019; Rogers et al., 2021; Viola, Giovenco, Miller Lo, & Delnevo, 2016). Concept flavors may also be attractive to those who smoke WT because they are novel and mysterious, with ambiguous flavors. Explicit flavors often used fruit descriptors, yet concept flavors used location/place, mythical, and sensation/emotion descriptors. Although tobacco products with flavor names have been able to circumvent and local flavor prohibitions, the proposed product standard for characterizing flavors in cigar products does not rely on flavor names. As described in the Proposed Rule, the determination of whether cigars contain a characterizing flavor will include: the presence and amount of artificial and natural flavor compounds, constituents, additives, or ingredients, the experience of using the product, including taste, aroma, and cooling sensation, and flavor representation (F. a. D. A. U.S. Department of Health and Human Services, Center for Tobacco Products, 2022). Although this rule has yet to be finalized, it is expected that it will prevent cigars from being sold in any flavoring other than tobacco, whether the name is an explicit or concept flavor.
Mint/menthol was the second most common flavor descriptor (12.5%) and 84.8% of brands had one or more mint/menthol flavor. Menthol is an organic compound that has pharmacological effects, including analgesic and cooling sensations (Krishnan-Sarin et al., 2017). The tobacco industry has long been aware that menthol masks the throat irritation caused by inhaling smoke (Villanti, Collins, Niaura, Gagosian, & Abrams, 2017). Similarly, mint flavoring also produces a cooling sensation and is a familiar flavor used in many consumer products such as toothpaste and gum. In addition to menthol and mint, there are other cooling agents that are added to tobacco that do not have a minty taste or smell. This allows a cooling sensation to be added to other, non-mint, flavors. The use of cool/ice flavor descriptors has been documented in e-cigarettes (Leventhal, Dai, Barrington-Trimis, & Sussman, 2021). To our knowledge, this is the first study to assess cool/ice in WT flavors, finding 157 (5.3%) flavors and over half the brands (59.1%) using this descriptor. These cooling agents may not be considered characterizing flavors, therefore, targeted regulatory actions may be needed.
One hundred sixty-one flavors were coded as alcohol (5.5%), and 59.1% of brands had at least one alcohol flavor. Using alcohol-flavors in tobacco products is common and may be particularly appealing to youth. One study found that youth who preferred e-cigarettes in alcohol flavors had higher rates of binge drinking (Jackson et al., 2020). Because WT use and alcohol are often paired in bar settings, alcoholic flavors may contribute to the co-use of WT and alcohol (Soule, Barnett, & Curbow, 2012).
Over 250 (8.8%) flavor names were coded as candy or baked desserts/sweets. Candy flavors were offered by 63.6% of brands and baked goods/sweets by 45.5% of brands. Data from the National Youth Tobacco Survey 2021 show that among those who use disposable e-cigarettes and tank systems, ‘candy, desserts, and other sweets’ was the second most commonly used flavor type (behind fruit); while among those who use pods, ‘candy, dessert, and other sweets’ ranked fourth (Park-Lee et al., 2021). Similar to fruit flavors, sweet flavors have long been used in tobacco products to mask harshness and increase appeal. However, data on the role of these flavor types for WT initiation and continued use are needed.
Despite guidance in the FCTC to restrict or prohibit flavors as a means to reduce product appeal, global adoption of such policies is limited. As of 2019, only 11 countries and the European Union have enacted restrictions on the sale of flavored tobacco (Erinoso et al., 2020). Of those, three countries (USA, Moldova, and Turkey) and the European Union only restrict flavors in cigarettes and roll-your-own products. Six countries (Brazil, Ethiopia, Mauritania, Nigeria, Senegal, and Uganda) restrict flavors from products made or derived from the tobacco leaf. One country, Singapore, prohibits fruit flavors only in WT products. Given that the FCTC has 168 Signatories, there is much progress to be made regarding flavor restrictions, especially for WT, which is rarely the focus of such policies.
Limitations.
Although we believe our process was exhaustive in identifying available WT products, we may have missed WT brands or flavors. Our search may have been influenced by Google’s algorithms that utilize information from previous searches on each computer to generate results. However, at the time of the study there was no publicly available database of WT brands or flavors. This study was limited to WT brands sold online in the USA and may not be representative of the global market. Our study coded the flavor names from the text flavor descriptors only and did not include imagery on the packaging that may provide consumers with information about flavor. Finally, we collected data on available brands in 2020; thus more brands and flavors could have entered the USA market since then. Continued surveillance of the WT market is needed.
Conclusion.
Results from this study show that WT is available for online sale in the USA in over 1,800 unique flavors across 66 brands, including flavors known to be attractive to youth. Like other tobacco products, fruit and mint/menthol were the most commonly used flavor descriptors. In addition, over a quarter of the flavors were coded as concept flavors, suggesting the industry may try to circumvent USA, state and local regulations that restrict explicit flavors. The role of flavors in encouraging youth cigarette smoking led to the federal ban of characterizing flavors, other than menthol, in cigarettes. If the FDA goes forward with action announced in April 2022 to prohibit menthol in cigarettes and ban all explicit flavors, including menthol, in cigar products (USA Department of Health and Human Services, Food and Drug Administaion, Center for Tobacco Products, 2022), WT would become the only combustible tobacco product on the USA market that would still be available with explicit flavors. Given the health harms associated with WT use (Montazeri et al., 2017; Waziry et al., 2017), and the widespread use of flavored WT among youth and young adults (Villanti, Johnson, et al., 2017), the FDA should consider including WT in any regulatory action that would remove flavors from combustible tobacco products.
ACKNOWLEDGMENTS
Funding Sources:
Research reported in this publication was supported by the National Cancer Institute of the National Institutes of Health under Award Number R01CA239192. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Footnotes
Conflict of Interest: The authors have no competing interests to declare.
Data Availability:
Data are available upon reasonable request with a request to the corresponding author via email.
REFERENCES
- Al Rashidi M, Shihadeh A, & Saliba NA (2008). Volatile aldehydes in the mainstream smoke of the narghile waterpipe. Food Chem Toxicol, 46(11), 3546–3549. doi: 10.1016/j.fct.2008.09.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ambrose BK, Day HR, Rostron B, Conway KP, Borek N, Hyland A, & Villanti AC (2015). Flavored tobacco product use among US youth aged 12–17 years, 2013–2014. JAMA, 314(17), 1871–1873. doi: 10.1001/jama.2015.13802 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Carpenter CM, Wayne GF, Pauly JL, Koh HK, & Connolly GN (2005). New cigarette brands with flavors that appeal to youth: tobacco marketing strategies. Health Aff (Millwood), 24(6), 1601–1610. doi: 10.1377/hlthaff.24.6.1601 [DOI] [PubMed] [Google Scholar]
- Chaiton M, Papadhima I, Schwartz R, Cohen JE, Soule EK, Zhang B, & Eissenberg T. (2020). Product Substitution After A Real-World Menthol Ban: A Cohort Study. Tob Regul Sci, 6(3), 205–212. doi: 10.18001/trs.6.3.5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Courtemanche CJ, Palmer MK, & Pesko MF (2017). Influence of the Flavored Cigarette Ban on Adolescent Tobacco Use. Am J Prev Med, 52(5), e139–e146. doi: 10.1016/j.amepre.2016.11.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cummings KM, Morley CP, Horan JK, Steger C, & Leavell NR (2002). Marketing to America’s youth: Evidence from corporate documents. Tob Control, 11(Suppl 1), I5–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Daher N, Saleh R, Jaroudi E, Sheheitli H, Badr T, Sepetdjian E, . . . Shihadeh A. (2010). Comparison of carcinogen, carbon monoxide, and ultrafine particle emissions from narghile waterpipe and cigarette smoking: Sidestream smoke measurements and assessment of second-hand smoke emission factors. Atmos Environ (1994), 44(1), 8–14. doi: 10.1016/j.atmosenv.2009.10.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Eissenberg T, & Shihadeh A. (2009). Waterpipe tobacco and cigarette smoking: Direct comparison of toxicant exposure. Am J Prev Med, 37(6), 518–523. doi: 10.1016/j.amepre.2009.07.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Erinoso O, Clegg Smith K, Iacobelli M, Saraf S, Welding K, & Cohen JE (2020). Global review of tobacco product flavour policies. Tob Control, 30(4), 373–379. doi: 10.1136/tobaccocontrol-2019-055454 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gammon DG, Rogers T, Coats EM, Nonnemaker JM, Marynak KL, Kuiper NM, & King BA (2019). National and state patterns of concept-flavoured cigar sales, USA, 2012–2016. Tob Control, 28(4), 394–400. doi: 10.1136/tobaccocontrol-2018-054348 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Huang LL, Baker HM, Meernik C, Ranney LM, Richardson A, & Goldstein AO (2017). Impact of non-menthol flavours in tobacco products on perceptions and use among youth, young adults and adults: a systematic review. Tob Control, 26(6), 709–719. doi: 10.1136/tobaccocontrol-2016-053196 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jackler RK, VanWinkle CK, Bumanlag IM, & Ramamurthi D. (2018). Alcohol-flavoured tobacco products. Tob Control, 27(3), 294–300. doi: 10.1136/tobaccocontrol-2016-053609 [DOI] [PubMed] [Google Scholar]
- Jackson A, Wu R, Kong G, Camenga DR, Morean M, Simon P, . . . Krishnan-Sarin S. (2020). Association between preference for using alcohol beverage-named e-liquids and alcohol use among high school youth. Drug Alcohol Depend, 209, 107903. doi: 10.1016/j.drugalcdep.2020.107903 [DOI] [PMC free article] [PubMed] [Google Scholar]
- King JL, Merten JW, & Nicksic NE (2021). Who Purchases Tobacco Online? Findings from Waves 1 and 4 of the Population Assessment of Tobacco and Health Study. Tob Regul Sci, 7(3), 155–169. doi: 10.18001/trs.7.3.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Krishnan-Sarin S, Green BG, Kong G, Cavallo DA, Jatlow P, Gueorguieva R, . . . O’Malley SS (2017). Studying the interactive effects of menthol and nicotine among youth: An examination using e-cigarettes. Drug Alcohol Depend, 180, 193–199. doi: 10.1016/j.drugalcdep.2017.07.044 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Leventhal A, Dai H, Barrington-Trimis J, & Sussman S. (2021). ‘Ice’ flavoured e-cigarette use among young adults. Tob Control. doi: 10.1136/tobaccocontrol-2020-056416 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mamtani R, Cheema S, Sheikh J, Al Mulla A, Lowenfels A, & Maisonneuve P. (2017). Cancer risk in waterpipe smokers: a meta-analysis. International Journal of Public Health, 62(1), 73–83. doi: 10.1007/s00038-016-0856-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Marketing Innovations Inc. Project Report. (1972). Youth cigarette - new concepts. Brown & Williamson Collection. Bates No. 170042014. Retrieved from https://www.industrydocuments.ucsf.edu/docs/xnhj0145
- Maziak W, Eissenberg T, & Ward KD (2005). Patterns of waterpipe use and dependence: implications for intervention development. Pharmacol Biochem Behav, 80(1), 173–179. doi: 10.1016/j.pbb.2004.10.026 [DOI] [PubMed] [Google Scholar]
- Maziak W, Rastam S, Ibrahim I, Ward KD, Shihadeh A, & Eissenberg T. (2009). CO exposure, puff topography, and subjective effects in waterpipe tobacco smokers. Nicotine Tob Res, 11(7), 806–811. doi: 10.1093/ntr/ntp066 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Maziak W, Ward KD, Afifi Soweid RA, & Eissenberg T. (2004). Tobacco smoking using a waterpipe: a re-emerging strain in a global epidemic. Tob Control, 13(4), 327–333. doi: 10.1136/tc.2004.008169 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Montazeri Z, Nyiraneza C, El-Katerji H, & Little J. (2017). Waterpipe smoking and cancer: Systematic review and meta-analysis. Tob Control, 26(1), 92–97. doi: 10.1136/tobaccocontrol-2015-052758 [DOI] [PubMed] [Google Scholar]
- Park-Lee E, Ren C, Sawdey MD, Gentzke AS, Cornelius M, Jamal A, & Cullen KA (2021). Notes from the Field: E-Cigarette Use Among Middle and High School Students - National Youth Tobacco Survey, United States, 2021. MMWR Morb Mortal Wkly Rep, 70(39), 1387–1389. doi: 10.15585/mmwr.mm7039a4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Raad D, Gaddam S, Schunemann HJ, Irani J, Abou Jaoude P, Honeine R, & Akl EA (2011). Effects of water-pipe smoking on lung function: A systematic review and meta-analysis. Chest, 139(4), 764–774. doi: 10.1378/chest.10-0991, 10.1378/chest.10-0991. Epub 2010 Jul 29. [DOI] [PubMed] [Google Scholar]
- Rastam S, Ward KD, Eissenberg T, & Maziak W. (2004). Estimating the beginning of the waterpipe epidemic in Syria. BMC Public Health, 4, 32. doi: 10.1186/1471-2458-4-32 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rezk-Hanna M, Doering L, Robbins W, Sarna L, Elashoff RM, & Victor RG (2018). Acute effect of hookah smoking on arterial stiffness and wave reflections in adults aged 18 to 34 years of age. Am J Cardiol, 122(5), 905–909. doi: 10.1016/j.amjcard.2018.05.033 [DOI] [PubMed] [Google Scholar]
- Riffe D, Lacy S, & Fico F. (2014). Analyzing Media Messages: Using Quantitative Content Analysis in Research: Routledge. [Google Scholar]
- Rogers T, Brown EM, Siegel-Reamer L, Rahman B, Feld AL, Patel M, . . . Schillo BA (2021). A Comprehensive Qualitative Review of Studies Evaluating the Impact of Local US Laws Restricting the Sale of Flavored and Menthol Tobacco Products. Nicotine Tob Res. doi: 10.1093/ntr/ntab188 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rogers T, Feld A, Gammon DG, Coats EM, Brown EM, Olson LT, . . . Pearlman DN (2020). Changes in cigar sales following implementation of a local policy restricting sales of flavoured non-cigarette tobacco products. Tob Control, 29(4), 412–419. doi: 10.1136/tobaccocontrol-2019-055004 [DOI] [PubMed] [Google Scholar]
- Rossheim ME, Livingston MD, Krall JR, Barnett TE, Thombs DL, McDonald KK, & Gimm GW (2020). Cigarette Use Before and After the 2009 Flavored Cigarette Ban. J Adolesc Health, 67(3), 432–437. doi: 10.1016/j.jadohealth.2020.06.022 [DOI] [PubMed] [Google Scholar]
- Schneller LM, Li D, Tavárez ZQ, Goniewicz ML, Quisenberry AJ, Xie Z, . . . Ossip DJ (2020). Flavor Inconsistencies between Flavored Tobacco Products among US Adults. Am J Health Behav, 44(5), 617–630. doi: 10.5993/ajhb.44.5.6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sharma E, Bansal-Travers M, Edwards KC, Halenar MJ, Taylor KA, Kasza KA, . . . Stanton CA (2020). Longitudinal pathways of exclusive and polytobacco hookah use among youth, young adults and adults in the USA: findings from the PATH Study Waves 1–3 (2013–2016). Tob Control, 29(Suppl 3), s155–s162. doi: 10.1136/tobaccocontrol-2020-055625 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shihadeh A. (2003). Investigation of mainstream smoke aerosol of the argileh water pipe. Food Chem Toxicol, 41(1), 143–152. [DOI] [PubMed] [Google Scholar]
- Shihadeh A, Schubert J, Klaiany J, El Sabban M, Luch A, & Saliba NA (2015). Toxicant content, physical properties and biological activity of waterpipe tobacco smoke and its tobacco-free alternatives. Tob Control, 24 Suppl 1, i22–i30. doi: 10.1136/tobaccocontrol-2014-051907 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Soneji S, Sargent JD, Tanski SE, & Primack BA (2015). Associations between initial water pipe tobacco smoking and snus use and subsequent cigarette smoking: Results from a longitudinal study of US adolescents and young adults. JAMA Pediatr, 169(2), 129–136. doi: 10.1001/jamapediatrics.2014.2697 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Soule EK, Barnett TE, & Curbow BA (2012). Keeping the night going: The role of hookah bars in evening drinking behaviours. Public Health, 126(12), 1078–1081. doi: 10.1016/j.puhe.2012.06.010 [DOI] [PubMed] [Google Scholar]
- Tanski S, Emond J, Stanton C, Kirchner T, Choi K, Yang L, . . . Hyland A. (2019). Youth Access to Tobacco Products in the United States: Findings From Wave 1 (2013–2014) of the Population Assessment of Tobacco and Health Study. Nicotine Tob Res, 21(12), 1695–1699. doi: 10.1093/ntr/nty238 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Truth Initiative. (2021). Disposable e-cigarette’s vague new flavor names attempt to evade regulation. Retrieved from https://truthinitiative.org/research-resources/emerging-tobacco-products/disposable-e-cigarettes-vague-new-flavor-names-attempt
- U.S. Department of Health and Human Services, Food and Drug Adminisitation, Center for Tobacco Products (2022). Tobacco Product Standard for Characterizing Flavors in Cigars. Retrieved from https://www.federalregister.gov/documents/2022/05/04/2022-08993/tobacco-product-standard-for-characterizing-flavors-in-cigars
- U.S. Department of Health and Human Services, Food and Drug Adminisitation, Center for Tobacco Products (2022). FDA Proposes Rules Prohibiting Menthol Cigarettes and Flavored Cigars to Prevent Youth Initiation, Significantly Reduce Tobacco-Related Disease and Death. Retrieved from https://www.fda.gov/news-events/press-announcements/fda-proposes-rules-prohibiting-menthol-cigarettes-and-flavored-cigars-prevent-youth-initiation
- U.S. Department of Health and Human Services, Food and Drug Adminisitation, Center for Tobacco Products (2023). Registration and Product Listing for Owners and Operators of Domestic Tobacco Product Establishments (Revised*): Guidance for Industry. (FDA-2009-D- 0500). Rockville, MD Retrieved from https://www.fda.gov/media/78165/download
- Villanti AC, Collins LK, Niaura RS, Gagosian SY, & Abrams DB (2017). Menthol cigarettes and the public health standard: a systematic review. BMC Public Health, 17(1), 983. doi: 10.1186/s12889-017-4987-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- Villanti AC, Johnson AL, Ambrose BK, Cummings KM, Stanton CA, Rose SW, . . . Hyland A. (2017). Flavored tobacco product use in youth and adults: Findings from the first wave of the PATH Study (2013–2014). Am J Prev Med, 53(2), 139–151. doi: 10.1016/j.amepre.2017.01.026 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Viola AS, Giovenco DP, Miller Lo EJ, & Delnevo CD (2016). A cigar by any other name would taste as sweet. Tob Control, 25(5), 605–606. doi: 10.1136/tobaccocontrol-2015-052518 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Watkins SL, Glantz SA, & Chaffee BW (2018). Association of noncigarette tobacco product use with future cigarette smoking among youth in the Population Assessment of Tobacco and Health (PATH) Study, 2013–2015. JAMA Pediatr, 172(2), 181–187. doi: 10.1001/jamapediatrics.2017.4173 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Waziry R, Jawad M, Ballout RA, Al Akel M, & Akl EA (2017). The effects of waterpipe tobacco smoking on health outcomes: An updated systematic review and meta-analysis. International journal of epidemiology, 46(1), 32–43. doi: 10.1093/ije/dyw021 [DOI] [PubMed] [Google Scholar]
- WHO Framework Convention on Tobacco Control. (2017). Partial guidelines for implementation of Articles 9 and 10. Retrieved from http://www.who.int/fctc/treaty_instruments/guidelines_articles_9_10_2017_english.pdf [Google Scholar]
- Yano Y, Stamler J, Garside DB, Daviglus ML, Franklin SS, Carnethon MR, . . . Lloyd-Jones DM (2015). Isolated Systolic Hypertension in Young and Middle-Aged Adults and 31-Year Risk for Cardiovascular Mortality: The Chicago Heart Association Detection Project in Industry Study. Journal of the American College of Cardiology, 65(4), 327–335. doi: 10.1016/j.jacc.2014.10.060 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhu SH, Sun JY, Bonnevie E, Cummins SE, Gamst A, Yin L, & Lee M. (2014). Four hundred and sixty brands of e-cigarettes and counting: Implications for product regulation. Tob Control, 23(Suppl 3), iii3–9. doi: 10.1136/tobaccocontrol-2014-051670 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data are available upon reasonable request with a request to the corresponding author via email.
