Acetaldehyde, Nornicotine, Cotinine, and

Nicotine & Tobacco Research, Volume 15, Number 3 (March 2013) 622–632
Review
Abuse Potential of Non-Nicotine Tobacco Smoke
Components: Acetaldehyde, Nornicotine, Cotinine,
and Anabasine
Allison C. Hoffman PhD, Sarah E. Evans PhD
U.S. Food and Drug Administration, Rockville, MD
Corresponding Author: Allison C. Hoffman, PhD, U.S. Food and Drug Administration, Rockville, MD 20850, USA. Telephone:
301-796-9203; Fax: 240-276-3655; E-mail: [email protected]
Received January 3, 2012; accepted July 8, 2012
Abstract
Introduction: This review identified published animal studies evaluating the possible abuse potential of acetaldehyde, nornicotine, cotinine, and anabasine based on five commonly used paradigms. These include their effects on midbrain dopamine (DA)
levels, drug discrimination and substitution for known drugs of abuse, place conditioning, self-administration behavior, and
somatic withdrawal symptoms.
Results: Acetaldehyde had mixed effects on midbrain DA levels and drug discrimination; however, it consistently produced a
conditioned place preference and supported self-administration. The single available study on withdrawal found that cessation of
acetaldehyde administration resulted in a somatic withdrawal syndrome. Nornicotine increased DA in the midbrain, especially in
the nucleus accumbens. Although there are no data on place conditioning, it substituted for nicotine in drug discrimination testing, partially substituted for cocaine and amphetamine, and, though only a single study, supported self-administration. Anabasine
increased midbrain DA levels and that it partially substituted for nicotine in drug discrimination testing. Cotinine increased
midbrain DA levels and substituted for nicotine.
Conclusions: The existing literature suggests that acetaldehyde and nornicotine likely possess abuse potential, with anabasine
having possible abuse potential. Although some cotinine data were available, it was insufficient to draw conclusions about p­ ossible
abuse potential. Further research is needed to determine the role of minor alkaloids on tobacco dependence.
Introduction
Since the 1964 publication of the U.S. Surgeon General’s
Report (SGR) first established the link between smoking and
various disease outcomes, it has been clear that continued
use of tobacco is harmful to health. Despite known negative
health outcomes, people continue to smoke. The SGR established that “habitual use … [is] perpetuated by the pharmacological action of nicotine on the central nervous system”
(U.S. Public Health Service, 1964, p. 34). Over the last four
decades, it has been well established that nicotine is the primary drug that promotes and supports tobacco addiction
(Benowitz, 2010; Markou, 2008; Watkins, Koob, & Markou,
2000). Recent peer-reviewed studies suggest that chemical
constituents other than nicotine present in tobacco smoke
may have abuse potential. Tobacco constituents such as acetaldehyde (a product of the combustion of (poly)saccharides)
and nicotine alkaloids may possess abuse potential independent of nicotine. That is, although these chemicals may alter
nicotine’s effects, this review focuses on the abuse potential
of these chemicals in and of themselves.
Tobacco smoke contains several aldehyde compounds
(Houlgate, Dhingra, Nash, & Evans, 1989; Xie, Yin, Sun, Xie,
Zhang, & Guo, 2009), however, the form most commonly referenced in addiction literature is acetaldehyde. Acetaldehyde
can be present in tobacco smoke in concentrations as high
as half of the nicotine content itself (i.e., 400–1400 µg/cigarette for acetaldehyde and 100–3000 µg/cigarette for nicotine;
Hoffmann, 2001). The effective average amount of acetaldehyde per cigarette is 427 µg (Smith & Hansch, 2000), so a
person who smokes a pack a day is exposed to 8.5 mg of acetaldehyde. Much of the research on the abuse potential associated
with acetaldehyde comes from the ethanol literature, as acetaldehyde is also a metabolite of ethanol (Amit & Smith, 1985;
Correa et al., 2012; Deng & Deitrich, 2008). The acetaldehyde/
ethanol literature is particularly useful in studies of tobacco
abuse potential (Amit & Smith, 1985; Correa et al., 2012;
Deng & Deitrich, 2008), as well-designed studies comparing
the effects of acetaldehyde and ethanol (discussed below in the
Self-Administration Acetaldehyde section) provide information both for acetaldehyde alone as well as in comparison to a
drug of abuse (ethanol).
doi:10.1093/ntr/nts192
Advance Access publication September 18, 2012
Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco 2012.
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Nicotine & Tobacco Research, Volume 15, Number 3 (March 2013)
Tobacco smoke also contains nicotine alkaloids that are less
potent than nicotine, but are still pharmacologically active (Wu,
Ashley, & Watson, 2002). These minor nicotine alkaloids may
also play a role in tobacco abuse potential. There are five minor
nicotine alkaloids: nornicotine, cotinine, anabasine, anatabine,
and myosmine, all of which are structurally similar to nicotine and are present in tobacco or tobacco smoke (Rodgman &
Perfetti, 2009). Typical quantities of the minor alkaloids in the
smoke of one cigarette are nornicotine (27–88 pg), cotinine (9–50
pg), anabasine (3–12 pg), anatabine (4–14 pg), and myosmine (9
pg) (U.S. Public Health Service, 1988, p. 27). In some varieties
of nicotine, nornicotine concentrations exceed those of nicotine
(Schmeltz & Hoffmann, 1976). Cotinine is also a metabolite of
nicotine and a specific indicator of nicotine exposure.
A single study that administered cocktails of nicotine with
one or more of these five alkaloids (anabasine, nornicotine, anatabine, cotinine, and myosmine) administered to rats was identified (Clemens, Caille, Stinus, & Cador, 2009); however, the
individual contributions of each chemical were not evaluated.
No other research was found on anatabine or myosmine; however, published data were found for the nornicotine, cotinine, and
anabasine. Therefore, the current assessment includes nornicotine, cotinine, and anabasine, but not anatabine or myosmine.
Abuse potential is studied utilizing a variety of instruments
and models. Most commonly reported are effects on midbrain
dopamine (DA) levels, drug discrimination and substitution for
known drugs of abuse, place conditioning, self-administration
behavior, and somatic withdrawal symptoms. Each paradigm
is valuable; however, few investigators have the resources to
utilize all five in a single study. The purpose of this review is to
evaluate the literature on abuse potential of acetaldehyde, nornicotine, cotinine, and anabasine using outcomes from five of
the most common abuse potential paradigms. Given the limited
data on anatabine and myosmine, information presented will
include only the minor alkaloids nornicotine, cotinine, and anabasine. By bringing together the literature on abuse potential of
these chemical constituents of tobacco and tobacco smoke, we
hope to identify research needs in the field of tobacco addiction.
Methods
Literature Search and Inclusion Criteria
This review is based on a search of publicly available published literature (English language only) performed using the
PubMed database during September 2011. Because the stated
goal of this search is abuse potential, drug effects on the brain
were included; however, effects on peripheral tissues were not
included. Studies were limited to nonhuman studies. Both in
vitro and in vivo animal studies were included; cell culture studies were excluded. The following search terms were entered
into the PubMed database: aldehyde, acetaldehyde, nornicotine,
cotinine, nicotine alkaloid, minor nicotine alkaloid, anabasine,
anatabine, myosmine, DA, nicotine, reward, reinforcement,
self-administration, drug discrimination, and addiction.
Results
Midbrain DA
The techniques used to measure midbrain DA (e.g.,
microdialysis, electrophysiology) and activity of dopaminergic
neurons (e.g., voltammetry) have been described in detail in
previous studies (Diggory & Buckett, 1984; Glowinsky &
Iversen, 1966; Melis et al., 2006; Pidoplichko et al., 2004). The
primary outcome measurement is of DA release or activity of
dopaminergic neurons following drug administration.
Rewarding or reinforcing stimuli (e.g., psychostimulants
such as amphetamine, cocaine, nicotine) produce changes in
dopaminergic activity (as measured by release or neuronal activity/firing) in the midbrain of animals and humans (Carlezon &
Thomas, 2009; Di Chiara et al., 2004; Howell & Wilcox, 2002;
Volkow, Fowler, & Wang, 2002). The nucleus accumbens is a
focal point in the midbrain and thought to be one of the primary
regions involved in reward and reinforcement (Alcaro, Huber,
& Panksepp, 2007; Deadwyler, 2010; Markou, 2008). Nicotine
has long been known to stimulate DA release in a variety of
midbrain regions (Balfour, Wright, Benwell, & Birrell, 2000;
Benowitz, 2010; Livingstone & Wonnacott, 2009). In particular, it is well documented that nicotine increases dopaminergic neuronal firing in the ventral tegmental area (VTA), which
results in DA release from the nucleus accumbens (Grenhoff,
Aston-Jones, & Svensson, 1986; Li, Doyon, & Dani, 2011). It
also directly increases DA release in the nucleus accumbens and
the striatum (caudate/putamen) (Bassareo, Tanda, Petromilli,
Giua, & Di Chiara, 1996; Benwell, Balfour, & Khadra, 1994;
Di Chiara & Imperato, 1988; Janhunen & Ahtee, 2004; Mifsud,
Hernandez, & Hoebel, 1989). Functional effects of addictive
drugs on midbrain DA correlate with self-reported measures
of drug liking in humans (Di Chiara et al., 2004; Volkow et al.,
2002), suggesting that a significant increase in midbrain DA
may be a marker for drugs that are abused in people. Based on
these reported findings, drug effects on midbrain DA level and/
or dopaminergic neuronal activity was chosen as a first-level
indicator of possible abuse potential for the current analysis.
Acetaldehyde
Acetaldehyde stimulates dopaminergic neuronal activity in the
VTA of the brain. When administered intravenously (5–20 mg/
kg) to male Sprague-Dawley rats, acetaldehyde dose-dependently increased the firing rates, spike/burst, and burst firing of
DA-containing VTA neurons with both the 10 and 20 mg/kg
doses producing significant increases as compared baseline
responding (Foddai, Dosia, Spiga, & Diana, 2004). Similar
findings by Melis and colleagues (2007) report that male
Wistar rats treated with intragastric acetaldehyde (20 mg/kg)
had a spike in DA release in the nucleus accumbens (Melis,
Enrico, Peana, & Diana, 2007). In contrast, a single dose
(200 mg/kg, intraperitoneal [i.p.]) of acetaldehyde was reported
to decrease striatal DA content when administered systemically
to adult male Wistar rats (Padilla-de la Torre et al., 2008). Two
studies administered systemic acetaldehyde at doses of 20 or
100 mg/kg, i.p. (Ward, Colantuoni, Dahchour, Quertemont, &
De Witte, 1997) or 11, 22, or 44 mg/kg, i.p. (Wang et al., 2007)
to adult male Wistar rats. DA was reduced in both the nucleus
accumbens (Padilla-de la Torre et al., 2008). The differences
in findings may be attributable to the doses and routes used.
If acetaldehyde’s effects are similar to ethanol (for which it is
a metabolite), then like ethanol, it may have a complex biphasic effect across time and dose (Enrico et al., 2009). At low
doses, acetaldehyde has been shown to possess an important
psychomotor stimulant effects (Correa, Arizzi, Betz, Mingote,
& Salamone, 2003; Tambour, Didone, Tirelli, & Quertemont,
2006). Acetaldehyde also acts mainly as a depressive drug
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Abuse potential of non-nicotine tobacco smoke components
when it is systemically administered; however, it can act as a
stimulant when administered directly in the brain (Quertemont,
Tambour, Bernaerts, Zimatkin, & Tirelli, 2004; Tambour et al.,
2006). Thus, it is difficult to directly compare the results of
these studies, as they cross a range of doses, routes of administration, and outcome measurements.
Nornicotine
Two studies have investigated the effects of nornicotine on
midbrain DA. When brain slices of male Sprague-Dawley rat
striatum were superfused with various concentrations of nornicotine, investigators report a dose-dependent increase in
electrically evoked DA release. Although less than 1 µM concentrations of nornicotine were relatively ineffective, there was
a steep increase in release between 10 and 100 µM concentrations of nornicotine (Dwoskin, Buxton, Jewell, & Crooks,
1993; Dwoskin, Teng, Buxton, Ravard, Deo, & Crooks, 1995).
Cotinine
Cotinine has been found to stimulate DA release from midbrain neurons. When male Sprague-Dawley rat striatal brain
slices were bathed in cotinine (1–3000 µM solution), there was
a significant dose-dependent release of DA (Dwoskin, Teng,
Buxton, & Crooks, 1999). However, in an in vivo study, Sziraki
and colleagues (1999) failed to find a significant effect when
cotinine (100 or 500 µg/kg, intravenously administered) was
administered to male Sprague-Dawley rats, with no significant
change in extracellular DA levels in the nucleus accumbens as
measured using microdialysis (Sziraki et al., 1999). According
to the study authors, the dose that reached the brain was either
60 or 300 µg/kg, both of which are higher than the dose of
12.5 µg/kg that an 80-kg person would take in over a 3–6 min
of smoking a cigarette. The lack of support by Sziraki et al.
(1999) for the positive finding of Dwoskin et al. (1999) may
be explained by significant differences in methodology (e.g.,
brain slices vs. microdialysis) and a lack of comparable doses
(bath solution vs. systemic administration), which prevent
direct comparisons of outcomes.
Anabasine
A single study investigated the effect of anabasine on midbrain
DA levels. Dwoskin and colleagues (1995) reported increased
DA release in male Sprague-Dawley rats exposed to anabasine
in vitro. Rat striatal slices were preloaded with [3H] DA, allowing for quantification of evoked DA release. Though limited,
this study found that anabasine stimulated DA release. When
anabasine was added to the superfusion buffer, there was a
concentration-dependent increase in DA release between 1 and
100 µM anabasine (Dwoskin et al., 1995).
Drug Discrimination
Drug discrimination is effective in evaluating shared central
mechanisms of action, with a test drug being compared with
the training drug (Balster, 1991; Thompson & Pickens, 1971).
In this model, an animal learns to press one lever (salinepaired) when pretreated with vehicle and another lever when
pretreated with drug (drug-paired). Responding on the active
lever (the lever paired with one of the two cues) will result
the delivery of a food pellet or other nondrug reinforcer.
Responding on the inactive lever has no reinforcement
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consequence; however, it may result in a “reset” of the active
lever such that the reinforcement schedule (e.g., fixed ratio)
returns to the original setting. The pretreatment provides an
interoceptive cue as to which lever is active. Animals will
learn to reliably discriminate between the interoceptive cues
produced by the different pretreatments and will press the
appropriate lever. When a test drug is administered before
the behavioral session, both levers are active and result in
reinforcer delivery. If the test drug shares interoceptive cues
with the training drug, that drug will “substitute for” or
“generalize to” the training drug (or training stimulus); the
animal will press the lever that has been previously paired
with that drug, so-called “drug appropriate” responding,
whereas pressing the lever associated with saline would be
“saline appropriate.” Challenge with a drug results in a %
responding on the drug-paired lever, which is compared with
the % responding produced by the training drug (Colpaert &
Rosecrans, 1978).
Test drugs that are in the same drug class (e.g., stimulant
drugs) partially or fully substitute for one another. Nicotine
produces reliable drug discrimination in a variety of animal
models, including mice, rats, and nonhuman primates (Desai,
Barber, & Terry, 2003; Goldberg, Risner, Stolerman, Reavill,
& Garcha, 1989; Jackson et al., 2010). Other stimulant drugs,
such as caffeine, cocaine, and amphetamine, partially substitute (typically between 20% and 80% responding on the drug
appropriate lever) or fully substitute (at least 80% responding on the drug appropriate lever) for nicotine and vice versa
(Justinova et al., 2009; Gatch, Flores, & Forster, 2008; Bardo,
Bevins, Klebaur, Crooks, & Dwoskin, 1997; Desai, Barber,
& Terry, 1999).
Acetaldehyde
Like nicotine and other drugs of abuse, acetaldehyde has been
demonstrated to have discriminative cue properties. Male rats
can be trained to reliably discriminate between acetaldehyde
(0.2 or 0.3 g/kg, i.p.) and saline (Redila, Aliatas, Smith, &
Amit, 2002), indicating that acetaldehyde produces interoceptive cues. Despite similar ethanol training doses (1.0 or
2.0 g/kg) and acetaldehyde challenge doses (100–300 mg/kg),
there have been mixed results. Although some studies have
failed to find any shared discriminative stimulus properties
with ethanol across a range of acetaldehyde doses (0–300 mg/
kg, i.p.; Quertemont & Grant, 2002), other studies report limited substitution for the training stimulus (Jarbe, Hiltunen, &
Swedberg, 1982). This may be due to differences in species,
as Quertemont & Grant (2002) used male Long-Evans rats,
whereas Jarbe et al. (1982) used male and female mongolian
gerbils. It may also have been impacted by differences in methodologies, as Quertemont & Grant (2002) used a cumulative
dosing procedure and tested 10 min after injection, whereas
Jarbe et al. (1982) gave discrete doses and tested 5 min after
injection (with the exception of a separate group given 300 mg/
kg acetaldehyde and tested 10-min postinjection).
Interestingly, a novel paradigm of drug discrimination has
been combined with a conditioned taste procedure, as acetaldehyde administration has been shown to attenuate several
ethanol-induced behaviors, such as a conditioned taste aversion
(Aragon, Abitbol, & Amit, 1986). That is, experience with acetaldehyde, administered systemically 3 days before the start of a
conditioned taste aversion procedure, augments the outcomes
Nicotine & Tobacco Research, Volume 15, Number 3 (March 2013)
of that procedure such that the conditioned taste aversion produced by acetaldehyde is even more robust. It was found that
ethanol produced significant substitution when administered to
animals trained using an acetaldehyde as the training drug; the
reverse association was also reported despite a range of acetaldehyde doses (0.05–0.3 g/kg) (Redila et al., 2002; Redila,
Smith, & Amit, 2000). Acetaldehyde appears to share interoceptive properties with ethanol. Because acetaldehyde is a
metabolite of alcohol, this is not surprising. Comparisons to
other drugs of abuse have not been made.
Nornicotine
Nornicotine has been found be a partial substitute for several drugs of abuse (Rosecrans, Kallman, & Glennon, 1978).
Squirrel monkeys trained to discriminate cumulative doses of
l-nicotine. (0.003–0.36 mg/kg) or d-nicotine (0.003–3.2 mg/kg)
from saline also displayed dose-related substitution (increases
in the percentage of drug-appropriate responses emitted, from
predominately saline-appropriate responses after low doses, to
predominately drug-appropriate responses at the highest doses)
when given l-nornicotine camsylate (0.03–1.94 mg/kg) indicating that the nornicotine interoceptive cue is similar to that of
nicotine (Takada, Swedberg, Goldberg, & Katz, 1989).
In male Lister hooded rats trained to discriminate between
systemically administered nicotine (0.1 mg/kg) and saline,
challenge with nornicotine (0.1–3.2 mg/kg) resulted in partial
substitution for nicotine, with animals responding on the nicotine-appropriate lever in a dose-related manner (fixed-interval
response rates first increased and then decreased, whereas
fixed-ratio response rates only decreased, with increasing
doses of nicotine). This difference in responding is typical with
interval versus ratio schedules of reinforcement (Goldberg
et al., 1989). In a similar study, male Sprague-Dawley rats were
trained to discriminate between systemically administered
nicotine (0.1 mg/kg) and saline. Challenge with nornicotine
(3 mg/kg) resulted in partial substitution for nicotine (maximum = 76% nicotine lever responding), with animals responding on the nicotine-appropriate lever in a dose-related manner
(Desai et al., 1999). In another study by the same group, adult
male Sprague-Dawley rats were trained to discriminate systemic cocaine (8.9 mg/kg) from saline. When challenged with
nornicotine (1–5.6 mg/kg), responding indicated partial generalization to the cocaine cue in a dose-related manner, with a
maximum of 44% responding on the cocaine-appropriate lever
produced by a nornicotine (Desai et al., 2003). A similar study
in adult male Sprague-Dawley rats, challenge with nornicotine (0.1–1.0 mg/kg/infusion) produced partial substitution for
amphetamine (0.0625–2.0 mg/kg) with maximal responding
of 50% (Bardo et al., 1997). Thus, like nicotine, nornicotine
appears to share interoceptive cues with a variety of stimulant
drugs of abuse.
Cotinine
Among male Lister hooded rats trained to discriminate
nicotine (0.1 mg/kg) from saline, systemic cotinine (3.2–
100 mg/kg) produced dose-dependent substitution, with the
highest dose substituting fully for nicotine (Goldberg et al.,
1989). The authors note that, in this particular study, this
may be due to a significant amount of nicotine present as an
impurity and should be interpreted with caution. That is, the
authors suggest that the dose-dependent generalization may,
in fact, be due to the presence of increasing amounts of the
training drug (nicotine), rather than cotinine per se. Although
such an impurity may have contributed to the rate-increasing
effects of cotinine, the authors discuss several reasons why
impurities alone couldn’t explain their results. Similar work
with squirrel monkeys trained to discriminate cumulative
doses of L-nicotine (0.02–2.2 μmol/kg) and D-nicotine
(0.02–19.7 μmol/kg) from saline reported some dose-related
generalized responses when given cotinine (10–100 mg/kg),
indicating partial substitution (Takada et al., 1989). It is not
surprising that cotinine shares interoceptive cues with nicotine
because they are very similar molecules.
Anabasine
In male Wistar rats trained to discriminate nicotine (0.3 mg/
kg, i.p.) from saline, treatment with anabasine (0.31 and 1 mg/
kg) resulted in almost full substitution at the highest dose,
with rats pressing the nicotine-associated lever almost 80%
of the time (Brioni, Kim, O’Neill, Williams, & Decker, 1994).
Others have found similar results, with anabasine substituting
for nicotine (the training stimulus) across a different route of
administration (subcutaneous [s.c.]), training dose of nicotine
(0.4 mg/kg, s.c.), challenge doses of anabasine (1–4 mg/kg),
and species of rat (male Sprague-Dawley; male Lister hooded)
(Pratt, Stolerman, Garcha, Giardini, & Feyerabend, 1983;
Stolerman, Garcha, Pratt, & Kumar, 1984; Romano, Goldstein,
& Jewell, 1981). Additional work with male Sprague-Dawley
rats trained to discriminate d-methamphetamine (0.3 mg/kg,
i.p.) and saline reported that treatment with anabasine (0.3–
10 mg/kg, i.p.) using a cumulative dosing procedure resulted
in a dose-related substitution. Increased responding on the
d-methamphetamine-associated lever reached a plateau at the
intermediate dose (Desai and Bergman, 2010). Like nornicotine and nicotine, anabasine shares interoceptive cues with a
multiple stimulant drugs of abuse.
Place Conditioning
Place conditioning is a paradigm that evaluates the rewarding
(“place preference”) or aversive (“place avoidance”) effects of
drugs (Tzschentke, 1998). It is used as an assessment of “liking,” which is a component of abuse potential. In this paradigm, animals are pretreated with a drug and placed in a unique
environment. On alternate days, they are pretreated with a control such as saline and subsequently placed in a second unique
environment. After a series of pairings, the untreated animal
is given a choice of environments. If the animal spends significantly more time in the environment paired with the drug,
the drug is thought to be rewarding. If the animal spends significantly less time in the environment paired with the drug,
the drug is thought to be aversive (Prus, James, & Rosecrans,
2009). Place conditioning with drugs of abuse such as nicotine,
cocaine, amphetamine, morphine, and ethanol results in preference, often following an inverted U-shaped dose-response
curve, with moderate doses producing peak preferences and
higher doses resulting in a return to baseline or even a place
aversion (Becker, Schmitz, & Grecksch, 2006; Font, Aragon,
& Miquel, 2006; Fudala, Teoh, & Iwamoto, 1985; Orsini,
Buchini, Piazza, Puglisi-Allegra, & Cabib, 2004). In this paradigm, an inverted U-shaped dose-response curve indicates that,
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Abuse potential of non-nicotine tobacco smoke components
at higher doses, the effects are aversive rather than rewarding.
Nicotine produces reliable place preference in a variety of
adult and adolescent rats (Le Foll & Goldberg, 2006; Le Foll &
Goldberg, 2009).
Acetaldehyde
Quertemont and de Witte (2001) paired acetaldehyde and
saline with two distinct olfactory cues in a place conditioning test. Five groups of male Wistar rats (0, 10, 20, 100, and
150 mg/kg, i.p.) were given eight conditioning sessions (four
saline and four acetaldehyde) before testing. The control
group was not observed to have significant changes in the
amount of time spend in the nonpreferred side after introduction of the olfactory cue, whereas the experimental groups
showed a significant place preference (p < .001). There was
an inverted-U shaped dose-response curve for the active
acetaldehyde conditions; with peak preference seen with the
20 mg/kg group and a return to baseline at the highest dose
(Quertemont & De Witte, 2001). There was no evidence of significant preference or aversion for the olfactory stimulus. Low
and moderate doses (10, 20, and 40 mg/kg) of systemically
administered acetaldehyde in male Wistar rats resulted in a
significant (p < .005) dose-dependent preference (Peana et al.,
2008). Intragastrically administered acetaldehyde (20 mg/kg)
is also reported to produce a conditioned place preference
in male Sprague-Dawley rats (Spina et al., 2010). However,
not all studies found significant place conditioning. In male
Wistar rats, doses of systemically administered acetaldehyde
(5, 20, and 200 mg/kg, i.p.) failed to produce any significant
changes in place preference, with some reported movement
toward place aversion at the highest dose (Suzuki, Shiozaki,
Moriizumi, & Misawa, 1992). Interestingly, there may be an
effect of genetics. A small study of ethanol-naïve male rats of
each line (UChA and UChB), bred for low alcohol drinking,
but not those bred for high alcohol drinking, develop a significant (p < .001) place preference following conditioning with
50 mg/kg (i.p.) acetaldehyde (Quintanilla & Tampier, 2003).
However, because the same rat strain and similar doses and
route of administration were used in both the Quertemont and
de Witte (2001) and Suzuki et al. (1992) studies, these do not
explain Suzuki’s negative results.
Nornicotine, Cotinine, and Anabasine
No published articles were found that examined the effect of
nornicotine, cotinine, or anabasine on place conditioning.
Self-Administration
Self-administration procedures allow an animal to perform
a behavior in order to receive a dose of drug (Panlilio
and Goldberg, 2007). Typically, the drug is administered
systemically via an intravenous catheter, but drugs can also be
administered through oral solutions. The role of specific brain
areas in a drug’s reinforcing properties can be investigated by
using in-dwelling cannulae, which allow local administration
of the drug to discrete brain areas. A drug that supports the
development and maintenance of self-administration behavior
is thought to have strong abuse potential. Most known drugs
that are abused by people are self-administered by animals
626
(Panlilio & Goldberg, 2007; Thomsen & Caine, 2007). Thus,
the ability of a drug to develop and maintain self-administration
behavior in animals is not only an indicator of abuse potential,
but it is considered to be the gold standard of abuse potential
indicators. Like place conditioning, it is common for drugs
of abuse, such as nicotine, to have an inverted U-shaped dose
response curve, with increased responding for low and moderate
doses and decreased levels of responding at higher doses
(Corrigall & Coen, 1989, 1991; Donny, Caggiula, Knopf, &
Brown, 1995; Goldberg, Spealman, & Goldberg, 1981; Risner
& Goldberg, 1983; Shoaib, 1997). Unlike in place conditioning,
in this paradigm, the descending limb of the dose-response
curve may indicate that the animal is titrating its blood levels
so that at higher doses, fewer administrations are needed, rather
than being due to aversive effects (Corrigall & Coen, 1989).
Nicotine supports self-administration, with stable responding
for intravenous nicotine administration occurring with 0.03 and
0.06 mg/kg/infusion dose. However, rates differ depending on a
variety of factors, including dose (as mentioned previously) and
schedule of reinforcement (e.g., fixed ratio vs. progressive ratio).
Usually, stable and robust behavior is typically obtained on fixedratio schedules up to fixed-ratio five levels of responding, with
the animal receiving nicotine every x number of lever presses (up
to the fixed-ratio five level). For progressive ratio responding, the
breakpoint (the maximum point at which the animal will work
to receive nicotine) depends on the steepness of the progression
and session length. In addition, the age, sex, strain of animals,
and secondary reinforcers can also impact performance on selfadministration (Caille, Clemens, Stinus, & Cador, 2012; Fattore,
Fadda, & Fratta, 2009; O’Dell & Khroyan, 2009).
Acetaldehyde
Several studies have found that acetaldehyde supports selfadministration behavior when administered systemically.
Male Fisher rats allowed to self-administer one of three doses
(0.088, 0.026, or 0.79 mg/kg/infusion; 3–5 rats/group) of intravenous acetaldehyde for 24 hr over 22–28 days earned double
the number of infusions as those self-administering ethanol
(Takayama & Uyeno, 1985). Although not all animals initiated
self-administration (33%–40%), the numbers were comparable
to, or better than, those who initiated ethanol self-administration (Takayama & Uyeno, 1985). Across a wide range of doses
(0.835–13.33 mg/kg/infusion) and conditions (e.g., free-feeding
vs. food restricted, different environmental conditions), intravenous acetaldehyde has supported the development and maintenance of self-administration in male Long-Evans rats (Myers,
Ng, & Singer, 1982; Myers, Ng, & Singer, 1984; Myers, Ng,
Marzuki, Myers, & Singer, 1984; Myers, Ng, Singer, Smythe,
& Duncan, 1985). In a study with a wide dose range (0.835,
1.67, 2.89, 6.66, or 13.33 mg/kg/infusion), the dose-response
curve had an inverted U-shape with male Long-Evans rats
responding produced by the 2.89 mg/kg infusion, but not lower
doses (Myers et al., 1982). Thus, it is not surprising that a very
low dose of intravenous acetaldehyde (0.016 µg/kg/inj) failed
to support self-administration in adolescent and adult male
Sprague-Dawley rats (Sershen et al., 2009), as it is well below
the behaviorally active dose identified by Myers et al. (1982).
Acetaldehyde also supports the development and maintenance of self-administration when given orally (Peana,
Muggironi, & Diana, 2010). Using a nose-poke operant
Nicotine & Tobacco Research, Volume 15, Number 3 (March 2013)
procedure with both active and inactive nose-poke holes, male
Wistar rats responded for 0.1%–3.2% acetaldehyde solution.
Responding on the active nose-poke hole followed an invertedU shaped dose-response curve, with the three moderate doses
producing significant dose-related increases in responding.
Acetaldehyde did not alter the number of inactive nose-pokes,
suggesting this is a specific behavioral effect (Peana et al.,
2010). A similar second study by the same group confirmed
that 2% acetaldehyde solution supported oral self-administration in male Wistar rats (Peana et al., 2011).
In addition to self-administering acetaldehyde via systemic
administration, animals will administer acetaldehyde directly
into the brain (Amit, Brown, & Rockman, 1977; Arizzi, Correa,
Betz, Wisniecki, & Salamone, 2003; Myers et al., 1985; Smith
& Amit, 1985). In two early studies, male Wistar rats were
placed in operant chambers equipped with levers which, when
pressed, would infuse acetaldehyde into the lateral ventricles.
At the end of 11 days in the operant chamber, and without any
experimenter-directed training, rats receiving 1%, 2%, or 5%
pressed the lever at rates above those of control animals (Amit
et al., 1977; Brown, Amit, & Rockman, 1979). Using the same
experimental procedure, a second study found that male Wistar
rats also self-administered 2% v/v acetaldehyde solution into
the cerebral ventricles at a rate significantly higher than control
animals (Brown, Amit, & Smith, 1980). Additional work supported these findings in larger groups of animals, over different
dose ranges of acetaldehyde, and varying schedules of reinforcement (Arizzi et al., 2003; Smith & Amit, 1985). Together,
these data suggest that acetaldehyde supports the development
and maintenance of self-administration behavior through central mechanisms.
Further investigation into particular brain areas has found
that the VTA may be involved in acetaldehyde self-administration (Rodd-Henricks et al., 2002). Female adult alcohol naïve
rats pressed an active lever to self-administer acetaldehyde
solution (0.13–15.6 mg/kg) directly into the VTA, with no significant change in activity on an inactive lever. Like Peana et al.
(2010), there was an inverted-U shaped dose-response curve.
The lowest concentration of 0.13 mg/kg did not significantly
affect lever-pressing behavior, whereas concentrations of
0.26–3.9 mg/kg significantly increased pressing of active lever.
Peak responding occurred at the 1.0 mg/kg concentration. The
two highest concentrations of acetaldehyde solution (7.8 and
15.6 mg/kg) did not produce any significant lever press behavior (Rodd-Henricks et al., 2002).
Nornicotine
In a study by Bardo and colleagues (1999), male SpragueDawley rats were allowed to self-administer intravenous
nornicotine. Because available behavioral data suggest a 10-fold
shift in relative potencies between nicotine and nornicotine
(Risner, Cone, Benowitz, & Jacob, 1988), a training dose of
nornicotine (0.3 mg/kg/infusion) was chosen, which is 10-fold
greater than that used to establish nicotine self-administration.
Nornicotine produced significant self-administration. The
dose-response curve followed an inverted U-shaped pattern,
with the lowest dose (0.075 mg/kg/infusion) failing to support
self-administration and the middle doses (0.15 and 0.3 mg/kg/
infusion) supporting the most self-administration behavior. The
highest dose (0.6 mg/kg/infusion) still produced significant
self-administration, but the mean number of responses was
slightly lower than those seen with 0.3 mg/kg/infusion. When
total drug intake was measured, there was a dose-dependent
increase (Bardo, Green, Crooks, & Dwoskin, 1999).
Cotinine and Anabasine
No published articles were found that examined the effect of
cotinine or anabasine on self-administration behavior.
Withdrawal
Withdrawal is experienced upon discontinuation of use, typically
undesirable, and is thought to be a manifestation of dependence. In humans, both psychological (e.g., craving, anxiety,
stress, anhedonia) and physical withdrawal (e.g., reduced concentration, increased appetite) of nicotine can be assessed (De
Biasi & Dani, 2011; Benowitz, 2010). In animals, studies are
limited to behavioral or physical manifestations of withdrawal
from nicotine and include anxiety-like behavior, teeth-chattering, chewing, gasps, palpebral ptosis, tremors, shakes, yawns,
scratching, and/or jumping (Benowitz, 2010; De Biasi & Dani,
2011; Malin & Goyarzu, 2009). Although other methods used
to evaluate withdrawal, such as intracranial self-stimulation
(Bauzo & Bruijnzeel, 2012; Bruijnzeel, Zislis, Wilson, & Gold,
2007; Johnson, Hollander, & Kenny, 2008; Stoker, Semenova, &
Markou, 2008), to date these have not been used to assess withdrawal from acetaldehyde, nornicotine, cotinine, or anabasine.
Acetaldehyde
A study by Ortiz and colleagues (1974) found that male mice
(T/O strain) exposed to acetaldehyde vapor for up to 10 days
display withdrawal upon cessation of exposure. Behavioral
and physiological symptoms included ataxia, tremor, piloerection, tail lift, and convulsions on handling. These symptoms
typically subsided after 2 hr. Caution should be taken when
interpreting these results, as the doses of inhaled acetaldehyde
were, according to the authors, extremely high (750 µg liter−1
to 4 mg liter−1) over the course of 10 days, and exposure was
not well quantified. Concentrations were only given approximately because they were very close to toxic levels and often
had to be adjusted to prevent large numbers of deaths in some
groups. About 5%–10% of treated mice died when exposure
extended beyond 5 days, and 20% died when exposure lasted
10 days (Ortiz, Griffiths, & Littleton, 1974).
Nornicotine, Cotinine, and Anabasine
No published articles were found that examined the effect of
nornicotine, cotinine, or anabasine on withdrawal.
Conclusions
Tobacco dependence is a complicated phenomenon. Broadening
our thinking beyond nicotine may aid in our understanding and
allow for minimization of dependence following initiation.
Based on this review, both acetaldehyde and nornicotine likely
have independent abuse potential, with some suggestion of anabasine having abuse potential. Too little is known about cotinine
to infer possible abuse potential.
627
Abuse potential of non-nicotine tobacco smoke components
Acetaldehyde has abuse potential because it induces conditioned place preference (Quertemont & De Witte, 2001),
is self-administered within the VTA (Rodd-Henricks et al.,
2002), and enhances the activity of VTA DA neurons (Foddai
et al., 2004). Although acetaldehyde effects on midbrain DA
levels are inconsistent, the majority of work to date suggests
DA levels are increased in response to acetaldehyde exposure.
Nornicotine has abuse potential because it increases DA in
the midbrain, especially in the nucleus accumbens. (Dwoskin
et al., 1993; Dwoskin et al., 1995), substitutes for nicotine in
drug discrimination testing (Desai et al., 1999; Goldberg et al.,
1989; Takada et al., 1989) and partially substitutes for cocaine
and amphetamine (Bardo et al., 1997). Furthermore, though
limited to a single study (Bardo et al., 1999), self-administration is the strongest indicator of abuse potential.
There is some evidence that anabasine has abuse potential.
The limited evidence presented suggests that it increases midbrain DA levels (Dwoskin et al., 1999) and that it fully substitutes for nicotine (Brioni et al., 1994) and partially substitutes
for d-methamphetamine (Desai & Bergman, 2010) in drug discrimination testing.
Of the chemicals reviewed, we identified only two studies of
abuse potential and cotinine (Dwoskin et al.,1999; Sziraki et al.,
1999). Although there are many studies investigating the abuse
potential of nicotine (Benowitz, 2010; Markou, 2008; Watkins,
Koob, & Markou, 2000), only few studies evaluate its downstream metabolite cotinine as a separate chemical of interest.
This is an identified area of future tobacco dependence research.
In addition to independent abuse potential, there is limited
evidence that acetaldehyde and the five nicotine alkaloids (anabasine, nornicotine, anatabine, cotinine, and myosmine) may
augment nicotine’s abuse potential. Animals self-administered
a mixture of nicotine plus anabasine, nornicotine, anatabine,
cotinine, and myosmine at significantly higher rates as compared with rats receiving nicotine alone (Clemens et al., 2009).
Although not tested separately, with no assessment of the individual contributions of components, this finding that the minor
nicotine alkaloids plus nicotine were more reinforcing than
nicotine alone suggests an augmentation of nicotine’s abuse
potential. Acetaldehyde plus nicotine has also been shown to
support self-administration behavior at doses that, by themselves, do not (Belluzzi, Wang, & Leslie, 2005).
An important limitation to this review is the absence of
data from human studies. Although animal studies can give
indications of abuse potential, human laboratory studies are
needed to truly ascertain the effect of each of these chemicals
on tobacco addiction. Alone, animal studies merely serve as a
model of human abuse potential. Additional research is needed
to investigate how these chemicals affect progress from initiation to dependence, something that can be investigated using
both animal and human studies.
Another limitation is that this review does not include
assessment of the relationships between the doses that tobacco
users might be exposed to and dependence liability. Rather, the
focus is on the individual chemicals themselves. In some cases,
the doses administered to laboratory animals far exceed that
which pack-a-day smokers are likely exposed. In others, there
appears to be a fair amount of overlap (e.g., acetaldehyde).
Although the route of administration is different for smokers,
the fast-onset of intravenous administrations has been used
as an alternative to pulmonary delivery, with peak delivery
628
to the brain within 30 s (Rose, Behm, Westman, & Coleman,
1999). In addition to differences with individual dosing (doses
and routes) in humans as compared with animal studies, it is
unknown how the short-term doses used in animal experiments
relate to very long-term exposure to these chemicals, such as
that experienced by smokers (numerous exposures over several
years or more). Dose-appropriate human laboratory studies
would contribute to understanding the abuse potential of acetaldehyde, nornicotine, anabasine, and cotinine in a real-world
setting.
In conclusion, current data suggest that acetaldehyde and
nornicotine likely possess abuse potential independent from
nicotine. Work done till date on anabasine is suggestive only;
more evidence is needed. Evidence supporting any claim that
cotinine has abuse potential is weak due to the very limited data
available. However, this review finds support for the hypothesis
that there are non-nicotine chemicals in tobacco and tobacco
smoke, such as acetaldehyde and nornicotine that may have
abuse potential. The role of acetaldehyde and the minor alkaloids on tobacco dependence needs to be studied further, and
future studies should include analysis of the additional constituents when the study design allows.
Declaration of Interests
This article reflects the views of the authors and should not be
construed to represent FDA’s views or policies. There were no
external funding sources.
Acknowledgments
The authors thank Dana van Bemmel for editorial help and
insight.
References
Alcaro, A., Huber, R., & Panksepp, J. (2007). Behavioral functions of the mesolimbic dopaminergic system: An affective
neuroethological perspective. Brain Research Reviews, 56,
283–321. doi:10.1016/j.brainresrev.2007.07.014.
Amit, Z., Brown, Z. W., & Rockman, G. E. (1977). Possible
involvement of acetaldehyde, norepinephrine and their tetrahydroisoquinoline derivatives in the regulation of ethanol
self-administration. Drug Alcohol Dependence, 2, 495–500.
doi:10.1016/0376-8716(77)90049-7
Amit, Z., & Smith, B. R. (1985). A multi-dimensional
examination of the positive reinforcing properties of
acetaldehyde. Alcohol (Fayetteville, NY), 2, 367–370.
doi:10.1016/0741-8329(85)90077-1
Aragon, C. M., Abitbol, M., & Amit, Z. (1986). Acetaldehyde
may mediate reinforcement and aversion produced by ethanol. An examination using a conditioned taste-aversion
paradigm. Neuropharmacology, 25(1), 79–83. doi:10.1016/
0028-3908(86)90062-6
Arizzi, M. N., Correa, M., Betz, A. J., Wisniecki, A., &
Salamone, J. D. (2003). Behavioral effects of intraventricular injections of low doses of ethanol, acetaldehyde, and acetate in rats: Studies with low and high rate operant schedules.
Behavioural Brain Research, 147, 203–210. doi:10.1016/
S0166-4328(03)00158-X
Nicotine & Tobacco Research, Volume 15, Number 3 (March 2013)
Balfour, D. J., Wright, A. E., Benwell, M. E., & Birrell, C.
E. (2000). The putative role of extra-synaptic mesolimbic dopamine in the neurobiology of nicotine dependence.
Behavioural Brain Research, 113, 73–83. doi:10.1016/
S0166-4328(00)00202-3
Balster, R. L. (1991). Drug abuse potential evaluation in
animals. British Journal of Addiction, 86, 1549–1558.
doi:10.1111/j.1360-0443.1991.tb01747.x
Bardo, M. T., Bevins, R. A., Klebaur, J. E., Crooks, P. A., &
Dwoskin, L. P. (1997). (-)-Nornicotine partially substitutes
for (+)-amphetamine in a drug discrimination paradigm in
rats. Pharmacology, Biochemistry, and Behavior, 58, 1083–
1087. doi:10.1016/S0091-3057(97)00303-1
Bardo, M. T., Green, T. A., Crooks, P. A., & Dwoskin, L. P.
(1999). Nornicotine is self-administered intravenously
by rats. Psychopharmacology (Berl.), 146, 290–296.
doi:10.1007/s002130051119
Bassareo, V., Tanda, G., Petromilli, P., Giua, C., & Di Chiara,
G. (1996). Non-psychostimulant drugs of abuse and anxiogenic drugs activate with differential selectivity dopamine
transmission in the nucleus accumbens and in the medial
prefrontal cortex of the rat. Psychopharmacology (Berl.),
124, 293–299. doi:10.1007/BF02247433
Bauzo, R. M., & Bruijnzeel, A. W. (2012). Animal models
of nicotine withdrawal: Intracranial self-stimulation and
somatic signs of withdrawal. Methods Molecular Biology,
829, 257–268. doi:10.1007/978-1-61779-458-2_16
Becker, A., Schmitz, M., & Grecksch, G. (2006). Kindling
modifies morphine, cocaine and ethanol place preference.
Experimental brain research. Experimentelle Hirnforschung.
Experimentation cerebrale, 168, 33–40. doi:10.1007/
s00221-005-0081-3
Belluzzi, J. D., Wang, R., & Leslie, F. M. (2005). Acetaldehyde
enhances acquisition of nicotine self-administration in
adolescent rats. Neuropsychopharmacology, 30, 705–712.
doi:10.1038/sj.npp.1300586
Benowitz, N. L. (2010). Nicotine addiction. The New England
Journal of Medicine, 362, 2295–2303. Retrieved from www.
nejm.org/doi/full/10.1056/NEJMra0809890
Benwell, M. E., Balfour, D. J., & Khadra, L. F. (1994).
Studies on the influence of nicotine infusions on mesolimbic dopamine and locomotor responses to nicotine. Clinical
Investigator, 72, 233–239. doi:10.1007/BF00189320
Brioni, J. D., Kim, D. J., O'Neill, A. B., Williams, J. E., &
Decker, M. W. (1994). Clozapine attenuates the discriminative stimulus properties of (-)-nicotine. Brain Research, 643,
1–9. doi:10.1016/0006-8993(94)90002-7
Bruijnzeel, A. W., Zislis, G., Wilson, C., & Gold, M. S. (2007).
Antagonism of CRF receptors prevents the deficit in brain
reward function associated with precipitated nicotine
withdrawal in rats. Neuropsychopharmacology, 32, 955–
963. doi:10.1038/sj.npp.1301192
Brown, Z. W., Amit, Z., & Rockman, G. E. (1979).
Intraventricular self-administration of acetaldehyde, but
not ethanol, in naive laboratory rats. Psychopharmacology
(Berl.), 64, 271–276. doi:10.1007/BF00427509
Brown, Z. W., Amit, Z., & Smith, B. (1980). Intraventricular
self-administration of acetaldehyde and voluntary consumption of ethanol in rats. Behavioral and Neural Biology, 28,
150–155. doi:10.1016/S0163-1047(80)91487-9
Caille, S., Clemens, K., Stinus, L., & Cador, M. (2012).
Modeling nicotine addiction in rats. In F. H. Koleissy
(Ed.), Psychiatric disorders: Methods and protocols,
methods in molecular biology (pp. 243–256). New York,
NY: Springer.
Carlezon, W. A., & Thomas, M. J. (2009). Biological substrates of reward and aversion: A nucleus accumbens activity
hypothesis. Neuropharmacology, 56(Suppl 1), 122–132.
doi:10.1016/j.neuropharm.2008.06.075
Clemens, K. J., Caille, S., Stinus, L., & Cador, M. (2009).
The addition of five minor tobacco alkaloids increases nicotine-induced hyperactivity, sensitization and intravenous
self-administration in rats. The International Journal of
Neuropsychopharmacology, 12, 1355–1366. doi:10.1017/
S1461145709000273
Colpaert, F. C., & Rosecrans, J. A. (Eds.). (1978). Stimulus
properties of drugs: Ten years of progress: International
symposium on drugs as discriminative stimuli. Beerse,
Belgium: Elsevier/North-Holland Biomedical Press,
Amsterdam.
Correa, M., Arizzi, M. N., Betz, A., Mingote, S., & Salamone,
J. D. (2003). Open field locomotor effects in rats after intraventricular injections of ethanol and the ethanol metabolites
acetaldehyde and acetate. Brain Research Bulletin, 62, 197–
202. doi:10.1016/j.brainresbull.2003.09.013
Correa, M., Salamone, J. D., Segovia, K. N., Pardo, M.,
Longoni, R., Spina, L., … Acquas, E. (2012). Piecing
together the puzzle of acetaldehyde as a neuroactive agent.
Neuroscience and Biobehavioral Reviews, 36(1), 404–430.
doi:10.1016/j.neubiorev.2011.07.009
Corrigall, W. A., & Coen, K. M. (1989). Nicotine maintains robust self-administration in rats on a limited-access
schedule. Psychopharmacology, 99, 473–478. doi:1007/
BF00589894
Corrigall, W. A., & Coen, K. M. (1991). Selective dopamine antagonists reduce nicotine self-administration.
Psychopharmacology, 104, 171–176. doi:1007/BF02244174
De Biasi, M., & Dani, J. A. (2011). Reward, addiction, withdrawal to nicotine. Annual Review of Neuroscience, 34, 105–
130. doi:10.1146/annurev-neuro-061010-113734
Deadwyler, S. A. (2010). Electrophysiological correlates
of abused drugs: Relation to natural rewards. Annals
of the New York Academy of Sciences, 1187, 140–147.
doi:10.1111/j.1749-6632.2009.05155.x
Deng, X. S., & Deitrich, R. A. (2008). Putative role of brain
acetaldehyde in ethanol addiction. Current Drug Abuse
Reviews, 1, 3–8. doi:10.2174.1874473710801010003
Desai, R. I., Barber, D. J., & Terry, P. (1999). Asymmetric
generalization between the discriminative stimulus effects
of nicotine and cocaine. Behavioural Pharmacology, 10,
647–656. doi:10.1097/00008877-199911000-00011
Desai, R. I., Barber, D. J., & Terry, P. (2003). Dopaminergic
and cholinergic involvement in the discriminative stimulus
effects of nicotine and cocaine in rats. Psychopharmacology
(Berl.), 167, 335–343. doi:10.1007/s00213-003-1426-x
Desai, R. I., & Bergman, J. (2010). Drug discrimination
in methamphetamine-trained rats: Effects of cholinergic nicotinic compounds. Journal of Pharmacology and
Experimental Therapeutics, 335, 807–816. doi:10.1124/
jpet.110.173773
Di Chiara, G., Bassareo, V., Fenu, S., De Luca, M. A., Spina,
L., Cadoni, C., … Lecca, D. (2004). Dopamine and drug
addiction: The nucleus accumbens shell connection.
Neuropharmacology, 47(Suppl 1), 227–241. doi:10.1016/
j.neuropharm.2004.06.032
Di Chiara, G., & Imperato, A. (1988). Drugs abused by humans
preferentially increase synaptic dopamine concentrations in
the mesolimbic system of freely moving rats. Proceedings
of the National Academy of Sciences of the United States of
America, 85, 5274–5278.
Diggory, G. L., & Buckett, W. R. (1984). An automated method
to measure monoamines and metabolites using elevated temperature reverse phase HPLC with electrochemical detection: Application to striatal dopamine and hippocampal
629
Abuse potential of non-nicotine tobacco smoke components
serotonin turnover. Journal of Pharmacological Methods,
11, 207–217. doi:10.1016/0160-5402(84)90039-1.
Donny, E. C., Caggiula, A. R., Knopf, S., & Brown, C. (1995).
Nicotine self administration in rats. Psychopharmacology,
122, 390–394. doi:10.1007/BF02246272
Dwoskin, L. P., Buxton, S. T., Jewell, A. L., & Crooks, P. A.
(1993). S(-)-nornicotine increases dopamine release in a calcium-dependent manner from superfused rat striatal slices.
Journal of Neurochemistry, 60, 2167–2174. doi:10.1111/
j.1471-4159.1993.tb03502.x
Dwoskin, L. P., Teng, L., Buxton, S. T., & Crooks, P. A. (1999).
(S)-(-)-cotinine, the major brain metabolite of nicotine, stimulates nicotinic receptors to evoke [3H]dopamine release
from rat striatal slices in a calcium-dependent manner. The
Journal of Pharmacology and Experimental Therapeutics,
288, 905–911. Retrieved from http://jpet.aspetjournals.org/
content/288/3/905.long
Dwoskin, L. P., Teng, L., Buxton, S. T., Ravard, A., Deo, N.,
& Crooks, P. A. (1995). Minor alkaloids of tobacco release
[3H]dopamine from superfused rat striatal slices. European
Journal of Pharmacology, 276, 195–199. doi:10.1016/
0014-2999(95)00077-X
Enrico, P., Sirca, D., Mereu, M., Peana, A. T., Lintas, A.,
Golosio, A., & Diana, M. (2009). Acetaldehyde sequestering
prevents ethanol-induced stimulation of mesolimbic
dopamine transmission. Drug and Alcohol Dependence,
100(3), 265–271. doi:10.1016/j.drugalcdep.2008.10.010
Fattore, L., Fadda, P., & Fratta, W. (2009). Sex differences
in the self-administration of cannabinoids and other drugs.
Psychoneuroendocrinology, 34(Suppl 1), S227–S236.
doi:10.1016/j.psyneuen.2009.08.008
Foddai, M., Dosia, G., Spiga, S., & Diana, M. (2004).
Acetaldehyde increases dopaminergic neuronal activity in the VTA. Neuropsychopharmacology, 29, 530–536.
doi:10.1038/sj.npp.1300326
Font, L., Aragon, C. M., & Miquel, M. (2006). Ethanolinduced conditioned place preference, but not aversion, is
blocked by treatment with D-penicillamine, an inactivation
agent for acetaldehyde. Psychopharmacology (Berl.), 184,
56–64. doi:10.1007/s00213-005-0224-z
Fudala, P. J., Teoh, K. W., & Iwamoto, E. T. (1985).
Pharmacologic characterization of nicotine-induced conditioned place preference. Pharmacology, Biochemistry, and
Behavior, 22, 237–241. doi:10.1016/0091-3057(85)90384-3
Gatch, M. B., Flores, E., & Forster, M. J. (2008). Nicotine and
methamphetamine share discriminative stimulus effects.
Drug and Alcohol Dependence, 93, 63–71. doi:10.1016/j.
drugalcdep.2007.08.020
Glowinsky, J., & Iversen, L. L. (1966). Regional studies of catecholamines in the rat brain: Disposition of H-norepinephrine,
H-dopamine, and H-DOPA in various regions of the brain.
Journal of Neurochemistry, 13, 655–659.
Goldberg, S. R., Spealman, R.D., & Goldberg, D. M. (1981)
Persistent behavior at high rates maintained by intravenous
self-administration of nicotine. Science, 214, 573–575.
doi:10.1126/science.7291998
Goldberg, S. R., Risner, M. E., Stolerman, I. P., Reavill, C., &
Garcha, H. S. (1989). Nicotine and some related compounds:
Effects on schedule-controlled behaviour and discriminative
properties in rats. Psychopharmacology (Berl.), 97, 295–
302. doi:10.1007/BF00439441
Grenhoff, J., Aston-Jones, G., & Svensson, T. H. (1986).
Nicotinic effects on the firing pattern of midbrain dopamine
neurons. Acta Physiologica Scandinavica, 128, 351–358.
doi:10.1111/j.1748-1716.1986.tb07988.x
Hoffmann, D. (2001). The less harmful cigarette: A controversial issue. A tribute to Ernst L. Wynder. Chemical Research
& Toxicology, 14, 767–790. doi:10.1021/tx000260u
630
Houlgate, P. R., Dhingra, K. S., Nash, S. J., & Evans, W. H.
(1989). Determination of formaldehyde and acetaldehyde
in mainstream cigarette smoke by high-performance liquid
chromatography. The Analyst, 114, 355–360. doi:10.1039/
an9891400355
Howell, L. L., & Wilcox, K. M. (2002). Functional imaging
and neurochemical correlates of stimulant self-administration in primates. Psychopharmacology (Berl.), 163, 352–
361. doi:10.1007/s00213-002-1207-y
Jackson, K. J., Marks, M. J., Vann, R. E., Chen, X., Gamage, T.
F., Warner, J. A., & Damaj, M. I. (2010). Role of alpha5 nicotinic acetylcholine receptors in pharmacological and behavioral effects of nicotine in mice. Journal of Pharmacology
and Experimental Therapeutics, 334, 137–146. doi:10.1124/
jpet.110.165738
Janhunen, S., & Ahtee, L. (2004). Comparison of the effects
of nicotine and epibatidine on the striatal extracellular dopamine. European Journal of Pharmacology, 494, 167–177.
doi:10.1016/j.ejphar.2004.05.015
Jarbe, T. U., Hiltunen, A. J., & Swedberg, M. D. (1982). Ethanol
as a discriminative stimulus: Effects of cyanamide, acetaldehyde and chlormethiazole. Medical Biology, 60, 298–306.
Johnson, P. M., Hollander, J. A., & Kenny, P. J. (2008). Decreased
brain reward function during nicotine withdrawal in C57BL6
mice: Evidence from intracranial self-stimulation (ICSS) studies. Pharmacology Biochemistry & Behavior, 90, 409–415.
doi:10.1016/j.pbb.2008.03.024
Justinova, Z., Ferre, S., Barnes, C., Wertheim, C. E., Pappas, L.
A., Goldberg, S. R., & Le Foll, B. (2009). Effects of chronic
caffeine exposure on adenosinergic modulation of the
­discriminative-stimulus effects of nicotine, methamphetamine, and cocaine in rats. Psychopharmacology (Berl.), 203,
355–367. doi:10.1007/s00213-008-1270-0
Le Foll, B., & Goldberg, S. R. (2006). Nicotine as a typical drug of abuse in experimental animals and humans.
Psychopharmacology (Berl), 184(3-4), 367–381.
Le Foll, B., & Goldberg, S. R. (2009). Effects of nicotine in
experimental animals and humans: An update on addictive
properties. Handbook of Experimental Pharmacology, 192,
335–367.
Li, W., Doyon, W. M., & Dani, J. A. (2011). Acute in vivo
nicotine administration enhances synchrony among dopamine neurons. Biochemical Pharmacology, 82, 977–983.
doi:10.1016/j.bcp.2011.06.006
Livingstone, P. D., & Wonnacott, S. (2009). Nicotinic acetylcholine receptors and the ascending dopamine pathways.
Biochemical Pharmacology, 78, 744–755. doi:10.1016/j.
bcp.2009.06.004
Malin, D. H., & Goyarzu, P. (2009). Rodent models of nicotine withdrawal syndrome. Handbook of Experimental Pharmacology,
192, 401–434. doi:10.1007/978-3-540-69248-5_14
Markou, A. (2008). Neurobiology of nicotine dependence.
Philosophical Transactions of the Royal Society of London
Series B, Biological Sciences, 363, 3159–3168. doi:10.1098/
rstb.2008.0095
Melis, M., Pillolla, G., Bisogno, T., Minassi, A., Petrosino,
S., Perra, S., & Pistis, M. (2006). Protective activation of
the endocannabinoid system during ischemia in dopamine
neurons. Neurobiology of Disease, 24, 15–27. doi:10.1016/j.
nbd.2006.04.010
Melis, M., Enrico, P., Peana, A. T., & Diana, M. (2007).
Acetaldehyde mediates alcohol activation of the mesolimbic
dopamine system. European Journal of Neuroscience, 26,
2824–2833. doi:10.1111/j.1460-9568.2007.05887.x
Mifsud, J. C., Hernandez, L., & Hoebel, B. G. (1989). Nicotine
infused into the nucleus accumbens increases synaptic dopamine as measured by in vivo microdialysis. Brain Research,
478, 365–367. doi:10.1016/0006-8993(89)91518-7
Nicotine & Tobacco Research, Volume 15, Number 3 (March 2013)
Myers, W. D., Ng, K. T., Marzuki, S., Myers, R. D., & Singer,
G. (1984). Alteration of alcohol drinking in the rat by peripherally self-administered acetaldehyde. Alcohol (Fayetteville,
NY), 1, 229–236. doi:10.1016/0741-8329(84)90103-4
Myers, W. D., Ng, K. T., & Singer, G. (1982). Intravenous
self-administration of acetaldehyde in the rat as a function
of schedule, food deprivation and photoperiod. Pharm­aco­­­
logy, Biochemistry, and Behavior, 17, 807–811. doi:10.1016/
0091-3057(82)90364-1
Myers, W. D., Ng, K. T., & Singer, G. (1984). Effects of
naloxone and buprenorphine on intravenous acetaldehyde
self-injection in rats. Physiology & Behavior, 33, 449–455.
doi:10.1016/0031-9384(84)90168-9
Myers, W. D., Ng, K. T., Singer, G., Smythe, G. A., & Duncan,
M. W. (1985). Dopamine and salsolinol levels in rat hypothalami and striatum after schedule-induced self-injection
(SISI) of ethanol and acetaldehyde. Brain Research, 358,
122–128. doi:10.1016/0006-8993(85)90955-2
O’Dell, L. E., & Khroyan, T. V. (2009). Rodent models of nicotine reward: What do they tell us about tobacco abuse in
humans? Pharmacology, Biochemistry and Behavior, 91(4),
481–488. doi:10.1016/j.pbb.2008.12.011
Orsini, C., Buchini, F., Piazza, P. V., Puglisi-Allegra, S., &
Cabib, S. (2004). Susceptibility to amphetamine-induced
place preference is predicted by locomotor response to novelty and amphetamine in the mouse. Psychopharmacology,
172, 264–270. doi:10.1007/s00213-003-1647-z
Ortiz, A., Griffiths, P. J., & Littleton, J. M. (1974). A comparison
of the effects of chronic administration of ethanol and acetaldehyde to mice: Evidence for a role of acetaldehyde in ethanol dependence. Journal of Pharmacy and Pharmacology,
26, 249–260. doi:10.1111/j.2042-7158.1974.tb09266.x
Padilla-de la Torre, M., Franco-Perez, J., Santamaria, A.,
Galvan, S., Gonzalez, E., & Paz, C. (2008). Effect of acetaldehyde on behavioral and neurochemical changes induced
by MK-801 in rats. Annals of the New York Academy of
Sciences, 1139, 259–267. doi:10.1196/annals.1432.038
Panlilio, L. V., & Goldberg, S. R. (2007). Self-administration
of drugs in animals and humans as a model and an investigative tool. Addiction (Abingdon, England), 102, 1863–1870.
doi:10.1111/j.1360-0443.2007.02011.x
Peana, A. T., Enrico, P., Assaretti, A. R., Pulighe, E.,
Muggironi, G., Nieddu, M., & Diana, M. (2008). Key
role of ethanol-derived acetaldehyde in the motivational
properties induced by intragastric ethanol: A conditioned
place preference study in the rat. Alcoholism, Clinical
and Experimental Research, 32, 249–258. doi:10.1111/
j.1530-0277.2007.00574.x
Peana, A. T., Muggironi, G., & Diana, M. (2010). Acetaldehydereinforcing effects: A study on oral self-administration
behavior. Frontiers in Psychiatry/Frontiers Research
Foundation, 1, 23. doi:10.3389/fpsyt.2010.00023
Peana, A. T., Muggironi, G., Fois, G. R., Zinellu, M., Vinci,
S., & Acquas, E. (2011). Effect of opioid receptor blockade
on acetaldehyde self-administration and ERK phosphorylation in the rat nucleus accumbens. Alcohol (Fayetteville, NY)
45(8), 773–783. doi:10.1016/j.alcohol.2011.06.003
Pidoplichko, V.I., Noguchi, J., Areola, O.O., Liang, Y.,
Peterson, J., Zhang, T., & Dani, J.A. (2004). Nicotinic cholinergic synaptic mechanisms in the ventral tegmental area
contribute to nicotine addiction. Learning & Memory, 11(1),
60–69. doi:10.1101/lm.70004
Pratt, J. A., Stolerman, I. P., Garcha, H. S., Giardini, V., &
Feyerabend, C. (1983). Discriminative stimulus properties
of nicotine: Further evidence for mediation at a cholinergic
receptor. Psychopharmacology, 81, 54–60. doi:10.1007/
BF00439274
Prus, A. J., James, J. R., & Rosecrans, J. A. (2009). Conditioned
place preference. In J. J. Buccafusco (Ed.), Methods of
behavior analysis in neuroscience (2nd ed.) (Chapter 4).
Boca Raton, FL: CRC Press. Retrieved from www.ncbi.nlm.
nih.gov/books/NBK5229/
Quertemont, E., & De Witte, P. (2001). Conditioned stimulus
preference after acetaldehyde but not ethanol injections.
Pharmacology, Biochemistry, and Behavior, 68, 449–454.
doi:10.1016/S0091-3057(00)00486-X
Quertemont, E., & Grant, K. A. (2002). Role of acetaldehyde
in the discriminative stimulus effects of ethanol. Alcoholism,
Clinical and Experimental Research, 26, 812–817.
doi:10.1111/j.1530-0277.2002.tb02609.x
Quertemont, E., Tambour, S., Bernaerts, P., Zimatkin, S.M., &
Tirelli, E. (2004). Behavioral characterization of acetaldehyde in C57BL/6J mice: Locomotor, hypnotic, anxiolytic
and amnesic effects. Psychopharmacology, 177, 84–92.
doi:10.1007/s00213-004-1911-x
Quintanilla, M. E., & Tampier, L. (2003). Acetaldehyde-reinforcing
effects: Differences in low-alcohol-drinking (UChA) and highalcohol-drinking (UChB) rats. Alcohol (Fayetteville, NY), 31,
63–69. doi:10.1016/j.alcohol.2003.07.001
Redila, V. A., Aliatas, E., Smith, B. R., & Amit, Z. (2002).
Effects of ethanol on an acetaldehyde drug discrimination with a conditioned taste aversion procedure. Alcohol
(Fayetteville, NY), 28, 103–109. doi:10.1016/S07418329(00)00096-3
Redila, V. A., Smith, B. R., & Amit, Z. (2000). The effects
of aminotriazole and acetaldehyde on an ethanol drug discrimination with a conditioned taste aversion procedure.
Alcohol (Fayetteville, NY), 21, 279–285. doi:10.1016/
S0741 8329(00)00096-3
Risner, M. E., & Goldberg, S. R. (1983). A comparison of nicotine and cocaine self-administration in the dog: Fixed-ratio
and progressive-ratio schedules of intravenous drug infusion.
Journal of Pharmacology and Experimental Therapeutics,
224, 319–326. Retrieved from http://jpet.aspetjournals.org/
content/ 224/2/319.long
Risner, M. E., Cone, E. J., Benowitz, N., & Jacob, P. (1988). Effects
of the stereoisomers of nicotine and nornicotine on schedulecontrolled responding and physiological parameters of dogs.
Journal of Pharmacology and Experimental Therapeutics, 244,
807–813. Retrieved from http://jpet.aspetjournals.org/content/
244/3/807.long
Rodd-Henricks, Z. A., Melendez, R. I., Zaffaroni, A.,
Goldstein, A., McBride, W. J., & Li, T. K. (2002). The
reinforcing effects of acetaldehyde in the posterior ventral
tegmental area of alcohol-preferring rats. Pharmacology,
Biochemistry, and Behavior, 72, 55–64. doi:10.1016/S00913057(01)00733-X
Rodgman, A., & Perfetti, T. A. (2009). The chemical compo­
nents of tobacco and tobacco smoke. Boca Raton, FL: Taylor
& Francis Group, LLC.
Romano, C., Goldstein, A., & Jewell, N. P. (1981).
Characterization of the receptor mediating the nicotine discriminative stimulus. Psychopharmacology (Berl.), 74, 310–
315. doi:10.1007/BF00432737
Rose, J. E., Behm, F. M., Westman, A. C., & Coleman, R. E.
(1999). Arterial nicotine kinetics during cigarette smoking and intravenous nicotine administration: Implications
for addiction. Drug and Alcohol Dependence, 56, 99–107.
doi:10.1016/S0376-8716(99)00025-3
Rosecrans, J. A., Kallman, M. J., & Glennon, R. (1978). The
nicotine cue: An overview. In F. C. Colpaert, J. A. Rosecrans
(Eds.), Stimulus properties of drugs: Ten years of pro­
gress (pp. 69–81). Amsterdam: Elsevier/North-Holland
Biomedical Press.
631
Abuse potential of non-nicotine tobacco smoke components
Schmeltz, I., & Hoffmann, D. (1976). Chemical studies on
tobacco smoke. In E. L. Wynder, D. Hoffmann, & B. Gori
(Eds.), Modifying the risk for the smoker (pp. 13–84), vol I,
chap. 38. DHEW Publication No. 76-1221. Washington, DC:
US Government Printing Office.
Sershen, H., Shearman, E., Fallon, S., Chakraborty, G., Smiley,
J., & Lajtha, A. (2009). The effects of acetaldehyde on nicotine-induced transmitter levels in young and adult brain
areas. Brain Research Bulletin, 79(6), 458–462. doi:10.1016/
j.brainresbull.2009.04.005
Shoaib, M. (1997). Nicotine self-administration in rats: Strain
and nicotine pre-exposure effects on acquisition. Psycho­
pharmacology, 129, 35–43. doi:10.1007/s002130050159
Smith, B. R., & Amit, Z. (1985). The role of gamma-aminobutyric
acid (GABA) in the regulation of ethanol and acetaldehyde
self-administration. Progress in Neuropsychopharmacology
& Biological Psychiatry, 9, 759–763. doi:10.1016/
0278-5846(85)90056-9
Smith, C. J., & Hansch, C. (2000). The relative toxicity of
com­­
pounds in mainstream cigarette smoke condensate.
Food and Chemical Toxicology, 38, 637–646. doi:10.1016/
S0278-6915(00)00051-X
Spina, L., Longoni, R., Vinci, S., Ibba, F., Peana, A. T., Muggironi,
G., &Acquas, E. (2010). Role of dopamine D1 receptors and
extracellular signal regulated kinase in the motivational properties of acetaldehyde as assessed by place preference conditioning. Alcoholism, Clinical and Experimental Research, 34,
607–616. doi:10.1111/j.1530-0277.2009.01129.x
Stoker, A. K., Semenova, S., & Markou, A. (2008). Affective and
somatic aspects of spontaneous and precipitated nicotine withdrawal in C57BL/6 J and BALB/cByJ mice. Neuropharmacology,
54, 1223–1232. doi:10.1016/j.neuropharm.2008.03.013
Stolerman, I. P., Garcha, H. S., Pratt, J. A., & Kumar, R. (1984).
Role of training dose in discrimination of nicotine and
related compounds by rats. Psychopharmacology (Berl.), 84,
413–419. doi:10.1007/BF00555223
Suzuki, T., Shiozaki, Y., Moriizumi, T., & Misawa, M.
(1992). Establishment of the ethanol-induced place preference in rats. Japanese Journal of Alcohol Studies & Drug
Dependence, 27, 111–123.
Sziraki, I., Sershen, H., Benuck, M., Lipovac, M., Hashim, A.,
Cooper, T. B., Allen, D., & Lajtha, A. (1999). The effect of
cotinine on nicotine- and cocaine-induced dopamine release
in the nucleus accumbens. Neurochemical Research, 24,
1471–1478. doi:10.1007/s11064-999-0001-1
Tambour, S., Didone, V., Tirelli, E., & Quertemont, E.
(2006). Locomotor effects of ethanol and acetaldehyde
after peripheral and intraventricular injections in Swiss and
C57BL/6J mice. Behavioral Brain Research, 172, 145–154.
doi:10.1016/j.bbr.2006.05.010
Takada, K., Swedberg, M. D., Goldberg, S. R., & Katz, J. L.
(1989). Discriminative stimulus effects of intravenous l-nicotine and nicotine analogs or metabolites in squirrel monkeys.
632
Psychopharmacology (Berl), 99, 208–212. doi:10.1007/
BF00442809
Takayama, S., & Uyeno, E. T. (1985). Intravenous self-administration of ethanol and acetaldehyde by rats. Japanese
Journal of Psychopharmacology, 5, 329–334.
Thomsen, M., & Caine, S. B. (2007). Intravenous drug selfadministration in mice: Practical considerations. Behavior
Genetics, 37, 101–118. doi:10.1007/s10519-006-9097-0
Thompson, T., & Pickens, R. (1971). Stimulus properties of
drugs. New York, NY: Plenum Press.
Tzschentke, T. (1998). Measuring reward and the conditioned
place preference paradigm: A comprehensive review of
drug effects, recent progress and new issues. Progress in
Neurobiology, 56, 613–672.
U.S. Public Health Service. (1964). Smoking and health:
Report of the advisory committee to the surgeon general of
the public health service. Washington, DC: U.S. Department
of Health and Human Services. Retrieved from http://profiles.nlm.nih.gov/NN/B/C/X/B/
U.S. Public Health Service. (1988). The health consequences
of smoking: Nicotine addiction: A report of the surgeon
general. Washington, DC: U.S. Department of Health and
Human Services. Retrieved from http://profiles.nlm.nih.gov/
NN/B/B/Z/J/
Volkow, N. D., Fowler, J. S., & Wang, G. J. (2002). Role of
dopamine in drug reinforcement and addiction in humans:
Results from imaging studies. Behavioural Pharmacology,
13, 355–366. doi:10.1097/00008877-200209000-00008
Wang, W., Ameno, K., Jamal, M., Kumihashi, M., Uekita, I.,
Ameno, S., & Ijiri, I. (2007). Effect of direct infusion of
acetaldehyde on dopamine and dopamine-derived salsolinol
in the striatum of free-moving rats using a reverse microdialysis technique. Archives of Toxicology, 81, 121–126.
doi:10.1007/s00204-006-0131-z
Ward, R. J., Colantuoni, C., Dahchour, A., Quertemont, E., &
De, W. P. (1997). Acetaldehyde-induced changes in monoamine and amino acid extracellular microdialysate content
of the nucleus accumbens. Neuropharmacology, 36, 225–
232. doi:10.1016/S0028-3908(97)00007-5
Watkins, S. S., Koob, G. F., & Markou, A. (2000). Neural
mechanisms underlying nicotine addiction: Acute positive reinforcement and withdrawal. Nicotine & Tobacco
Research, 2, 19–37. doi:10.1080/14622200050011277
Wu, W., Ashley, D. L., & Watson, C. H. (2002). Determination
of nicotine and other minor alkaloids in international cigarettes by solid-phase microextraction and gas chromatography/mass spectrometry. Analytical Chemistry, 74(19),
4878–4884. doi:10.1021/ac020291p
Xie, J., Yin, J., Sun, S., Xie, F., Zhang, X., & Guo, Y. (2009).
Extraction and derivatization in single drop coupled to
MALDI-FTICR-MS for selective determination of small
molecule aldehydes in single puff smoke. Analytica Chimica
Acta, 638, 198–201. doi:10.10 16/j.aca.2009.02.036